{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Vendor:  Continuum Analytics, Inc.\n",
      "Package: mkl\n",
      "Message: trial mode expires in 26 days\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from os.path import join\n",
    "\n",
    "from pylab import rcParams\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "rcParams['figure.figsize'] = (13, 6)\n",
    "plt.style.use('ggplot')\n",
    "import nilmtk\n",
    "from nilmtk import DataSet, TimeFrame, MeterGroup, HDFDataStore\n",
    "from nilmtk.disaggregate import CombinatorialOptimisation, fhmm_exact\n",
    "from nilmtk.utils import print_dict\n",
    "from nilmtk.metrics import f1_score\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparing FHMM and CO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Downloading data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The full data set can be downloaded from the remote WikiEnergy database. The credentials are omitted here for security reasons."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# download_wikienergy(database_username, database_password, hdf_filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "IOError",
     "evalue": "No such file as /Users/nipunbatra/Dropbox/nilmtk_datasets/redd.h5",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIOError\u001b[0m                                   Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-3-3ab466afbfc0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mdata_dir\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'/Users/nipunbatra/Dropbox/nilmtk_datasets/'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mwe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataSet\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'redd.h5'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'loaded '\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuildings\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' buildings'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/nipunbatra/git/nilmtk/nilmtk/dataset.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, filename, format)\u001b[0m\n\u001b[1;32m     42\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetadata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 44\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimport_metadata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mget_datastore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     45\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     46\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mimport_metadata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstore\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/nipunbatra/git/nilmtk/nilmtk/utils.pyc\u001b[0m in \u001b[0;36mget_datastore\u001b[0;34m(filename, format, mode)\u001b[0m\n\u001b[1;32m    310\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    311\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mformat\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'HDF'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 312\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mHDFDataStore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    313\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mformat\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'CSV'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    314\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mCSVDataStore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/nipunbatra/git/nilmtk/nilmtk/docinherit.pyc\u001b[0m in \u001b[0;36mf\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     44\u001b[0m         \u001b[0;34m@\u001b[0m\u001b[0mwraps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmthd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0massigned\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'__name__'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'__module__'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     45\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 46\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmthd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     47\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     48\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muse_parent_doc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moverridden\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/nipunbatra/git/nilmtk/nilmtk/datastore/hdfdatastore.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, filename, mode)\u001b[0m\n\u001b[1;32m     27\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'a'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'a'\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misfile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mIOError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"No such file as \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstore\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHDFStore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcomplevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m9\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcomplib\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'blosc'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mHDFDataStore\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mIOError\u001b[0m: No such file as /Users/nipunbatra/Dropbox/nilmtk_datasets/redd.h5"
     ]
    }
   ],
   "source": [
    "data_dir = '/Users/nipunbatra/Dropbox/nilmtk_datasets/'\n",
    "we = DataSet(join(data_dir, 'redd.h5'))\n",
    "print('loaded ' + str(len(we.buildings)) + ' buildings')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'we' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-fe1eb293ce97>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mbuilding_number\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mprint_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuildings\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mbuilding_number\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'we' is not defined"
     ]
    }
   ],
   "source": [
    "building_number = 1\n",
    "print_dict(we.buildings[building_number].metadata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Examine sub-metered appliances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'we' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-e4ec6f193a95>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0melec\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuildings\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mbuilding_number\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0melec\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0melec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappliances\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'we' is not defined"
     ]
    }
   ],
   "source": [
    "elec = we.buildings[building_number].elec\n",
    "elec.appliances"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dividing data set into train and test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "train = DataSet(\"/Users/nipunbatra/Dropbox/nilmtk_datasets/redd.h5\")\n",
    "test = DataSet(\"/Users/nipunbatra/Dropbox/nilmtk_datasets/redd.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10a8a3d50>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxUAAAFyCAYAAACDc/fBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a736810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train.buildings[1].elec.mains().plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's split data at April 30th"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "train.set_window(end=\"30-4-2011\")\n",
    "test.set_window(start=\"30-4-2011\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "train_elec = train.buildings[1].elec\n",
    "test_elec = test.buildings[1].elec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10ca3a850>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxUAAAFwCAYAAADOu1bKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b791190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_elec.mains().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10b7b2e90>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxYAAAFyCAYAAABoREzCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3X90lOWd///ndc/kFyEkJkARUvBHQEMsEItYFkWhiz22\nFCiV9NR2q1Tqbk6PHOlWbW1de760a5EKBRp/HF1bW9t+ZD2Qbttdt9qiULGbqNAtAVwsiy4oIkkI\nAfJjZu7r+8f8ICHJzASYuSfO63GOmkxm7vuaa8bkfs/7/b4uY621iIiIiIiInAPH6wGIiIiIiMjQ\np8BCRERERETOmQILERERERE5ZwosRERERETknCmwEBERERGRc6bAQkREREREzpk/nSdzXZdvfOMb\nlJaW8o1vfIMTJ06wdu1ajh49yqhRo1ixYgWFhYUAbN68mS1btuA4DkuXLmXq1KkA7N+/n7q6OgKB\nANXV1SxdujSdT0FERERERPqR1ozFv//7v1NeXo4xBoD6+nqmTJnCunXruOKKK6ivrwfg4MGDbN++\nnTVr1nDvvffyxBNPEN1u4/HHH6e2tpb169dz+PBhdu7cmc6nkPGampq8HsIHnuY4tTS/qaX5TT3N\ncWppflNL85t6H+Q5Tltg0dzczI4dO5g7d24sSHj11Ve57rrrALj++utpbGwEoLGxkVmzZuH3+xk9\nejRjxoxh3759tLa20tnZSUVFBQCzZ8+moaEhXU9hSPggv1kzheY4tTS/qaX5TT3NcWppflNL85t6\nH+Q5Tltg8dRTT/HFL34Rxzl9yra2NkpKSgAoLi6mra0NgNbWVsrKymL3Kysro6WlhdbWVkpLS2O3\nl5aW0tLSkqZnICIiIiIiA0lLYPHaa68xYsQILr744li24kzR8igRERERERl60tK8/cYbb/Daa6+x\nY8cOAoEAHR0dbNiwgeLiYo4dO0ZJSQmtra0UFxcD4UxEc3Nz7PHNzc2UlZX1yVA0Nzf3ymD01NTU\n1CvVVFNTk6Jnl1my5Xl6SXOcWprf1NL8pp7mOLU0v6ml+U29D8Icb9y4MfZ1VVUVVVVVQJoCi5tv\nvpmbb74ZgN27d/Nv//Zv3HHHHTz99NO8+OKLLFq0iJdeeomrrroKgOnTp7Nu3Trmz59PS0sLhw8f\npqKiAmMMBQUF7Nu3j4qKCrZt28aNN97Y7zl7Psmod955J7VPNAMUFRXR3t7u9TA+0DTHqaX5TS3N\nb+ppjlNL85tamt/UG+pzPHbs2AGDo7QuNxsVLXtatGgRa9euZcuWLbHlZgHKy8uZOXMmK1aswOfz\ncdttt8Ues2zZMurq6uju7qa6uppp06Z58RRERERERKQHYwdqevgAUsZCzgfNcWppflNL85t6muPU\n0vymluY39Yb6HI8dO3bAn2nnbREREREROWcKLERERERE5Jx50mMhIiIiItmpqKjI6yF4yufzDZk5\nGGzJlgILEREREUmrodxjkC3OJvhRKZSIiIiIiJwzBRYiIiIiInLOFFiIiIiIiMg5U2AhIiIiIpLA\npk2buPnmm70eRkZTYCEiIiIiAjQ0NLBgwQIqKyupqqpi0aJF/PnPfwZg8eLF/OIXv4jdt7y8nLfe\nesurofZy9dVX88c//tHrYWhVKBERERGR9vZ2brnlFr7//e+zYMECurq6aGhoIDc3d8DHWGvTOMKB\nGWPOeizRxxljznkcyliIiIiISNbbv38/xhgWLlyIMYb8/Hxmz55NZWUlAM888wyf+cxngHD2AmDe\nvHlMmjSJX//61wA8//zzzJs3j8mTJ7Nw4UL27Nkz4PnKy8t56qmnmDVrFpdddhmrV6/mwIEDfPrT\nn6ayspLa2loCgUDs/gMd+4477uDQoUPceuutTJo0iUcffRSA1157jQULFjB58mTmzZvHK6+8EjvW\nTTfdxKpVq1i4cCEVFRW8/fbb52UOlbEQERERkax36aWX4jgOd955JwsXLqS6upqSkpJ+77tp0ybK\ny8t54YUXmDBhAgC7du3i61//Ok899RRTp07l2WefZenSpWzdunXArMfWrVv53e9+x6FDh/jEJz5B\nQ0MDDz/8MCUlJSxYsID6+nqWLFky4LG3bdvGhg0baGxs5Ac/+AHXXHMNAO+++y633HILGzZsYM6c\nOWzdupWvfOUrbN26ldLS0thzePrpp7n00ktxXfe8zKECCxERERHJGKGvLDgvx/E9/m+Duv/w4cOp\nr6+nrq6Ou+66i/fff5+5c+eyevVqRo4cmfDxTz/9NF/84heZNm0aAEuWLGHDhg28/vrrfOxjH+v3\nMbW1tRQWFjJp0iQuv/xy5s6dy4c//GEA5syZw65du1iyZEncY1999dV9jrtp0ybmzp3LnDlzAJg9\nezZTp07l97//PUuWLAGgpqaGiRMnAuA456eISYGFiIiIiGSMwQYE51NFRQVr164F4M0332T58uXc\nf//91NXVJXzsoUOHePbZZ/nxj38cuy0QCPDee+8N+JhRo0bFvs7Pz+8VwOTl5dHc3Bz32IcPH+73\nuAcPHuS3v/0tL7zwQuy2YDDIrFmzYt+PHTs24XMaLAUWIiIiIiJnqKioYMmSJfz85z9P6v5jx45l\n+fLlLF++/Lycv2czdaJjn9l4PW7cOD772c/y4IMPJnX880XN2yIiIiKS9d58800ee+wx3n33XSCc\nJaivr+fKK6/s9/6jRo3qtdzsF77wBX72s5+xY8cOrLWcOnWKF154gZMnTyY9hp4rO1lrY98nOvbI\nkSN7jWXx4sU8//zzvPTSS4RCITo7O9m+fXvsuZ15rvNFgYWIiIiIZL3hw4ezY8cO5s+fz8SJE2P7\nWdx///1A+BP+np/yf+1rX+POO+9k8uTJ/OY3v2HKlCmsXr2ab3/721RVVXHNNdfw7LPPDni+/jIG\nPW/reb5Ex77jjjtYt24dkydP5rHHHmPs2LE8+eSTbNiwgSlTpjBjxgwee+yxXsFEKjIWxmbKArxp\n8M4773g9hJQrKiqivb3d62F8oGmOU0vzm1qa39TTHKeW5je10jG/eg2HhoFep3i9GcpYiIiIiIjI\nOVNgISIiIiIi50yBhYiIiIiInDMFFiIiIiIics4UWIiIiIiIyDlTYCEiIiIiIudMgYWIiIiIiJwz\nBRYiIiIiInLOFFiIiIiIiCSwadMmbr75Zq+HkdEUWIiIiIiIAA0NDSxYsIDKykqqqqpYtGgRf/7z\nnwFYvHgxv/jFL2L3LS8v56233vJqqL1cffXV/PGPf/R6GPi9HoCIiIiIiNfa29u55ZZb+P73v8+C\nBQvo6uqioaGB3NzcAR9jrU3jCAdmjDnrsUQfZ4w553GkJWPR3d3Nvffey1133cWKFSti0d7GjRv5\nh3/4B+6++27uvvtuduzYEXvM5s2bWb58OXfeeWcsUgTYv38///iP/8jy5cv58Y9/nPKxB11LyM2M\nN42IiIiIpMb+/fsxxrBw4UKMMeTn5zN79mwqKysBeOaZZ/jMZz4DhLMXAPPmzWPSpEn8+te/BuD5\n559n3rx5TJ48mYULF7Jnz54Bz1deXs5TTz3FrFmzuOyyy1i9ejUHDhzg05/+NJWVldTW1hIIBGL3\nH+jYd9xxB4cOHeLWW29l0qRJPProowC89tprLFiwgMmTJzNv3jxeeeWV2LFuuukmVq1axcKFC6mo\nqODtt98+L3OYloxFbm4u999/P3l5eYRCIf7pn/6JvXv3Yoxh/vz5zJ8/v9f9Dx48yPbt21mzZg0t\nLS2sXLmS9evXY4zh8ccfp7a2loqKCh544AF27tzJtGnTUjb2//ffRykb5ufGSRek7BwiIiIi4q1L\nL70Ux3G48847WbhwIdXV1ZSUlPR7302bNlFeXs4LL7zAhAkTANi1axdf//rXeeqpp5g6dSrPPvss\nS5cuZevWrQNmPbZu3crvfvc7Dh06xCc+8QkaGhp4+OGHKSkpYcGCBdTX17NkyZIBj71t2zY2bNhA\nY2MjP/jBD7jmmmsAePfdd7nlllvYsGEDc+bMYevWrXzlK19h69atlJaWxp7D008/zaWXXorruudl\nDtNWCpWXlwdAMBjEdV0KCwuB/lNIjY2NzJo1C7/fz+jRoxkzZgz79u1j1KhRdHZ2UlFRAcDs2bNp\naGhIaWDRGXTpDJ6fyRYRERGR+Bb+fO95Oc6vvnD5oO4/fPhw6uvrqaur46677uL9999n7ty5rF69\nmpEjRyZ8/NNPP80Xv/jF2HXpkiVL2LBhA6+//jof+9jH+n1MbW0thYWFTJo0icsvv5y5c+fy4Q9/\nGIA5c+awa9culixZEvfYV199dZ/jbtq0iblz5zJnzhwgfM08depUfv/737NkyRIAampqmDhxIgCO\nc36KmNIWWLiuyz333MN7773HDTfcwIc//GH+9Kc/8dxzz7F161YuueQSvvSlL1FYWEhra2vsiQKU\nlZXR0tKC3++PRVkApaWltLS0pHTcNvKPiIiIiKTeYAOC86miooK1a9cC8Oabb7J8+XLuv/9+6urq\nEj720KFDPPvss71K9QOBAO+9996Ajxk1alTs6/z8/F4BTF5eHs3NzXGPffjw4X6Pe/DgQX7729/y\nwgsvxG4LBoPMmjUr9v3YsWMTPqfBSltg4TgOq1ev5tSpU3zve9+jqamJG264gZtuugkI16399Kc/\npba29rycr6mpiaamptj3NTU1FBUVDfo4OTkt5ObmntVjvTCUxjpUaY5TS/ObWprf1NMcp5bmN7XS\nMb8+ny+lxz9fKioqWLJkCT//+c+Tuv/YsWNZvnw5y5cvPy/n79lMnejYZzZejxs3js9+9rM8+OCD\nSR2/Pz6fb8D3wsaNG2NfV1VVUVVVBXiwKtSwYcOorq7mr3/9a2wQAHPnzmXVqlVAOBMRjdAAmpub\nKSsr65OhaG5u7pXB6Knnk4xqb28f9Hi7u7vp9NuzeqwXioqKhsxYhyrNcWppflNL85t6muPU0vym\nVjrmN1MDwzfffJPf//73LFiwgAsvvJBDhw5RX1/PlVde2e/9R40axVtvvRXrsfjCF77AbbfdxrXX\nXsu0adPo6Ohg+/btzJw5M9YCkEjPFgFrbez7RMceOXIkb731VqzHYvHixXzqU5/ipZde4pprriEQ\nCPD6669z8cUXc+GFF/Y5V39CoVC/74WioiJqamr6fUxaVoU6fvw4J0+eBMIX6n/5y1+4+OKLOXbs\nWOw+DQ0NjB8/HoDp06fz8ssvEwwGOXLkCIcPH6aiooKSkhIKCgrYt28f1lq2bdvGjBkzUjp2S+Ys\nJSYiIiIiqTF8+HB27NjB/PnzmThxYmw/i/vvvx8If8Lf81P+r33ta9x5551MnjyZ3/zmN0yZMoXV\nq1fz7W9/m6qqKq655hqeffbZAc/XX8ag5209z5fo2HfccQfr1q1j8uTJPPbYY4wdO5Ynn3ySDRs2\nMGXKFGbMmMFjjz3W65r2fCwv22f8Ng1XzW+//TZ1dXW4rou1ltmzZ7NgwQJ+9KMfceDAAYwxjBo1\nittvvz3Wfb9p0ya2bNmCz+fj1ltvjTWr7N+/n7q6Orq7u6murubLX/5y0uN45513Bj32RxsOU1rg\np+YjiZt2MoE+yUk9zXFqaX5TS/Obeprj1NL8pla6MhZ6DTPfQK9TvN6MtAQWmeJsA4sLCvx8ToGF\nRGiOU0vzm1qa39TTHKeW5je1FFhI1NkEFmkphRrqsif0EhERERE5OwosErCAqwVnRURERETiUmCR\ngLXKWIiIiIiIJKLAIgkKLERERERE4lNgkYDFqhBKRERERCSBtG+QN9SES6EUWoiIiIicL5m6SV46\n+Hw+QqGQ18NICQUWCdjIPyIiIiJy7rJ9qdkP8nK7KoVKghIWIiIiIiLxKbBIwFplLEREREREElFg\nkQRXKQsRERERkbgUWCSgHgsRERERkcQUWCRk1WMhIiIiIpKAAosEtNysiIiIiEhiCiwSUCmUiIiI\niEhiCiwSsVpuVkREREQkEQUWCShjISIiIiKSmAKLBCzKWIiIiIiIJKLAIhGrfSxERERERBJRYJGA\nxaoUSkREREQkAQUWCagUSkREREQkMQUWSVDOQkREREQkPgUWCVgtNysiIiIikpACiyQosBARERER\niU+BRQIWcL0ehIiIiIhIhlNgkYDVDnkiIiIiIgn5vR5A5rPKWIiIiIiIJKCMRQJablZEREREJDEF\nFglYq0ooEREREZFEFFgkwSplISIiIiISV1p6LLq7u/nOd75DIBAgGAxy1VVXcfPNN3PixAnWrl3L\n0aNHGTVqFCtWrKCwsBCAzZs3s2XLFhzHYenSpUydOhWA/fv3U1dXRyAQoLq6mqVLl6Z07OrdFhER\nERFJLC0Zi9zcXO6//35Wr17ND37wA5qamti7dy/19fVMmTKFdevWccUVV1BfXw/AwYMH2b59O2vW\nrOHee+/liSeeiGUNHn/8cWpra1m/fj2HDx9m586dKR27NsgTEREREUksbaVQeXl5AASDQVzXpbCw\nkFdffZXrrrsOgOuvv57GxkYAGhsbmTVrFn6/n9GjRzNmzBj27dtHa2srnZ2dVFRUADB79mwaGhpS\nPnZXgYWIiIiISFxpW27WdV3uuece3nvvPW644QY+/OEP09bWRklJCQDFxcW0tbUB0NraysSJE2OP\nLSsro6WlBb/fT2lpaez20tJSWlpaUjxyRRUiIiIiIomkLbBwHIfVq1dz6tQpvve977Fr165ePzfG\nnNfzNTU10dTUFPu+pqaGoqKiQR/H5/Nj4awe64Xc3NwhM9ahSnOcWprf1NL8pp7mOLU0v6ml+U29\nD8Icb9y4MfZ1VVUVVVVVgAcb5A0bNozq6mr2799PcXExx44do6SkhNbWVoqLi4FwJqK5uTn2mObm\nZsrKyvpkKJqbm3tlMHrq+SSj2tvbBz3eQDCItWf3WC8UFRUNmbEOVZrj1NL8ppbmN/U0x6ml+U0t\nzW/qDfU5Lioqoqampt+fpaXH4vjx45w8eRIIrxD1l7/8hYsvvpjp06fz4osvAvDSSy9x1VVXATB9\n+nRefvllgsEgR44c4fDhw1RUVFBSUkJBQQH79u3DWsu2bduYMWNGysevYigRERERkfjSkrE4duwY\ndXV1uK6LtZbZs2fzkY98hIsvvpi1a9eyZcuW2HKzAOXl5cycOZMVK1bg8/m47bbbYqVSy5Yto66u\nju7ubqqrq5k2bVpKxx5eFUqhhYiIiIhIPMZm0VXzO++8M+jHfOcP/4drLf/fx8enYETn31BPrw0F\nmuPU0vymluY39TTHqaX5TS3Nb+oN9TkeO3bsgD/TztsJWLSPhYiIiIhIIgosErEW1+sxiIiIiIhk\nuLSvCjXU2LZWrE/TJCIiIiISj66YE7Adp7A5eV4PQ0REREQko6kUKgmueixEREREROJSYJGAYgoR\nERERkcQUWCRgUcZCRERERCQRBRZJUFwhIiIiIhKfAosELEaBhYiIiIhIAgosErDWKrAQEREREUlA\ngUVCRjtvi4iIiIgkoMAiAYt6LEREREREElFgkYACCxERERGRxBRYJMFaONEdwlVNlIiIiIhIvxRY\nJMEFHvrjO+x9v8ProYiIiIiIZCQFFglYG15ytivk0h1SxkJEREREpD8KLBKI9li4FpVCiYiIiIgM\nQIFFEmwkqFBcISIiIiLSPwUWCfTMWCiuEBERERHpnwKLBFQKJSIiIiKSmAKLJIQDC5VCiYiIiIgM\nRIFFAuGMhQlnLLwejIiIiIhIhlJgkYDF9MhYKGUhIiIiItIfBRZJcIk0byuuEBERERHplwKLBGyk\ne9tai6vAQkRERESkXwoskuBGeiwUV4iIiIjImf75pYP81/+1ez0MzymwSOD0crNWy82KiIiISL+0\nyI8Ci4SigUVIPRYiIiIi0g/HoEV+UGCRFIvBqhRKRERERPphjNEH0IA/XSc6evQodXV1tLW1YYzh\n4x//OJ/85CfZuHEjf/jDHxgxYgQAn//856murgZg8+bNbNmyBcdxWLp0KVOnTgVg//791NXVEQgE\nqK6uZunSpSkbt0qhRERERCQeA1rkhzQGFn6/n1tuuYWLLrqIzs5O7rnnHqZMmYIxhvnz5zN//vxe\n9z948CDbt29nzZo1tLS0sHLlStavX48xhscff5za2loqKip44IEH2LlzJ9OmTUvJuE8HFiqFEhER\nEZG+HKPKFkhjKVRJSQkXXXQRAPn5+YwbN46Wlhag/5q0xsZGZs2ahd/vZ/To0YwZM4Z9+/bR2tpK\nZ2cnFRUVAMyePZuGhoYUjtxEVoXScrMiIiIi0pcxRpUteNRjceTIEQ4cOMCkSZMAeO6557jrrrt4\n5JFHOHnyJACtra2UlZXFHlNWVkZLSwutra2UlpbGbi8tLY0FKKkQfYu4Fr1hRERERKQPB1W2QBpL\noaI6OztZs2YNt956K/n5+dxwww3cdNNNADzzzDP89Kc/pba29pzP09TURFNTU+z7mpoaioqKzuJI\nBosBIC8v/yyPkT65ubkZP8ahTnOcWprf1NL8pp7mOLU0v6ml+T07ubk55OUnd534QZjjjRs3xr6u\nqqqiqqoKSHNgEQwGeeihh7j22muZMWMGAMXFxbGfz507l1WrVgHhTERzc3PsZ83NzZSVlfXJUDQ3\nN/fKYET1fJJR7e2D37jEYnEB61o6OjvP6hjpVFRUlPFjHOo0x6ml+U0tzW/qaY5TS/ObWprfsxMM\nBjnV0ZHU3A31OS4qKqKmpqbfn6WtFMpay6OPPsq4ceP41Kc+Fbu9tbU19nVDQwPjx48HYPr06bz8\n8ssEg0GOHDnC4cOHqaiooKSkhIKCAvbt24e1lm3btsWClJSMGxNr3lYplIiIiIicKbyPhdej8F7a\nMhZvvPEG27ZtY/z48dx9991AeGnZl19+mQMHDmCMYdSoUdx+++0AlJeXM3PmTFasWIHP5+O2227D\nmHBJ0rJly6irq6O7u5vq6uqUrQgVZrGR5m29X0RERETkTAatCgVpDCwuv/xynnnmmT63R/es6M/i\nxYtZvHhxn9svueQSHnroofM6voHYSI+FlpsVERERkf44WhUK0M7bSXGj/9UbRkRERETOYFQKBSiw\nSMgCrglPk94wIiIiInIm7bwdpsAigZ7vEXfAe4mIiIhItgrvvK3IQoFFQib2VX87hIuIiIhIdjPG\nqLKFJJu3g8Eg77zzDqdOnWLYsGGMHTsWvz/te+t5oud7RG8YERERETmTMSqFggSBxWuvvcbzzz/P\nrl278Pl8FBQU0NHRQTAY5CMf+Qjz5s3jox/9aLrG6gmVQomIiIhIPA4qhYI4gcV9993HsGHDuPba\na7n99tt77W7d0tLC7t27+d3vfkd9fT0rV65My2C90DNLoVIoERERETmTMUYZC+IEFsuWLWPChAn9\n/qy0tJRrrrmGa665hrfeeitlg8sI5nSPhd4wIiIiInIm7bwdNmDz9oQJE2hra0t4gIGCjw8K9ViI\niIiISDwGXSdCgh6L22+/nQsvvJDKykoqKyuZPHkyI0eOTNfYMo7eLyIiIiJyJqOdt4EEgcUjjzzC\n7t272bt3L7/61a+oq6tj5MiRsSCjsrKSCy+8MF1j9USv5m29YURERETkDI7RIj+QILDo2UsBcOLE\nCfbu3cvu3bv55S9/yfHjx3nmmWfSMtBMoLhCJLF9zR38bOf7XDNhBDdUlHg9HBERkZQL91joQjHp\nzSgOHDjA7t272bNnD2+88QYjRozg6quvTuXYMoLtuUGeh+MQGSreOtaFAa4YPczroYiIiKSFMYaQ\nVvmJH1j86le/Ys+ePfz1r39lzJgxVFZWMmfOHP7+7/+e4cOHp2uMnlIplMjgWAsjC3MYOyLX66GI\niIikhQMEdZkYP7D4xS9+wdixY/nc5z7HlClTGD16dLrGlZHcQMDrIYhkPAs98nwiIiIffMaosgUG\n0bz9H//xH5w6dYrLLruMyZMnc/nllzN+/Ph0jdMzvUqhjh8Dyr0bjMgQ4FqLYxRaiIhI9givCqX2\n7bNu3v7Xf/1XQqEQTz75ZFoG6hXtYyEyOPr/REREso2D/v7BWTZv7927lxMnTnDppZemcmwZRz0W\nIolZwqtjiIiIZAuVQoUl1bz9xhtvEAgEmDhxIpWVldxwww1MmjSJvLy8dI3TMxaDY11c4ygSFUmC\nteFfsCIiItnC0QZ5QILAYteuXVRWVrJw4UIqKirIyclJ17gyionEoHrDiCTmWotRZCEiIlnEGJVC\nQYLA4lvf+la6xpGxLOBYS0hvGJGkWMK1piIiIlnjL6/hXlAOfMjrkXhqwL//P/nJT2htbY374NbW\nVn7yk5+c7zFlHEcZC5GkqRRKRESyjTnWjO3u9noYnhswYzFu3DjuvfdeysvLqaysZOzYsRQUFNDR\n0cE777zDnj17OHToEIsXL07neNPOYmKlUIorRBLTcrMiIpJtDPoAGuIEFvPmzWPOnDk0NjayY8cO\nGhsbOXXqFIWFhYwfP5558+Zx5ZVX4vcnvbDUkBQthQJw1e8vkpC12iBPRESyi2OsrhJJ0GPh9/uZ\nOXMmM2fOTNd4MpKjjIVI0lxUCiUiItnFGHB1nagey0Siy82C3jAiSVHGQkREsoyDweoTaAUWiVhD\njx4LvWFEEnHRcrMiIpJdlLEIU2CRBBPtsdAbRiQha7XztoiIZBcH7bwNCXosAFzXZffu3Vx22WXn\ntEHe0aNHqauro62tDWMMH//4x/nkJz/JiRMnWLt2LUePHmXUqFGsWLGCwsJCADZv3syWLVtwHIel\nS5cydepUAPbv309dXR2BQIDq6mqWLl161uNKxGJO91ik7CwiHxxablZERLJNeIM8XSkmzFg4jsOq\nVavOeddtv9/PLbfcwpo1a/je977Hf/7nf3Lw4EHq6+uZMmUK69at44orrqC+vh6AgwcPsn37dtas\nWcO9997LE088EXvBHn/8cWpra1m/fj2HDx9m586d5zS2eMKrQoV7LPSGEUnMxeKoy0JERLKIwaiy\nhSRLoSZPnsz//M//nNOJSkpKuOiiiwDIz89n3LhxtLS08Oqrr3LdddcBcP3119PY2AhAY2Mjs2bN\nwu/3M3psf/YpAAAgAElEQVT0aMaMGcO+fftobW2ls7OTiooKAGbPnk1DQ8M5jS0RB4vfDeGm9Cwi\nHwzKWIiISLZxjNV1IkmUQgGMHDmSf/7nf+aqq66irKwsdrsxhs997nODPumRI0c4cOAAEydOpK2t\njZKSEgCKi4tpa2sDwrt6T5w4MfaYsrIyWlpa8Pv9lJaWxm4vLS2lpaVl0GNInsGxFgdXy82KJMFV\nYCEiIlnGGKPrRJIMLLq7u7nqqqsAYhfx1p7dyi+dnZ089NBD3HrrrRQUFPT6WSauJGMJN2/73ZDe\nMCJJsNbiaF0IERHJIg5a5AeSDCy++tWvnpeTBYNBHnroIWbPns2MGTOAcJbi2LFjlJSU0NraSnFx\nMRDORDQ3N8ce29zcTFlZWZ8MRXNzc68MRlRTUxNNTU2x72tqaigqKhr0mC3g4OKzLsZxzuoY6ZSb\nm5vxYxzqNMfx5eQeIy/Pf9ZzpPlNLc1v6mmOU0vzm1qa37OTk+PHSfI68YMwxxs3box9XVVVRVVV\nFZBkYAHhZuo//elPHDt2jGXLlnHo0CGCwSATJkxI6vHWWh599FHGjRvHpz71qdjt06dP58UXX2TR\nokW89NJLsczI9OnTWbduHfPnz6elpYXDhw9TUVGBMYaCggL27dtHRUUF27Zt48Ybb+xzvp5PMqq9\nvT3Zp9tDeIM8nw0RDJ3tMdKnqKgo48c41GmO4+vq6iaP0FnPkeY3tTS/qac5Ti3Nb2ppfs+OGwwS\nDCX3t2+oz3FRURE1NTX9/iypwOKVV17hiSee4Oqrr+aPf/wjy5Yto6Ojg1/+8pfcd999SQ3ijTfe\nYNu2bYwfP567774bgJtvvplFixaxdu1atmzZEltuFqC8vJyZM2eyYsUKfD4ft912W6xUatmyZdTV\n1dHd3U11dTXTpk1LagxnwxpwrMVvQ1iVd4gkZFGPhYiIZBdjjJq3STKweOaZZ7jvvvu46KKLeOWV\nVwC46KKLOHDgQNInuvzyy3nmmWf6/dlAwcnixYtZvHhxn9svueQSHnrooaTPfS5spHnbZ13Vzokk\nwe3qgnf/D5tfhrnkMq+HIyIiknKOg6e9uNZa7B+fx7n2Bu8GQZLLzR4/fpzx48f3uT0Tm61TweDi\nc0PaIE8kCe7772H2/gVamxPfWURE5APA4PFGyq6L/emPvBwBkGRgcfHFF7N169Zet23fvj22l8QH\nmcVgrMVnQ8pYiCTBWoszajTmo3/j9VBERETSwvMN8jJkM+ekSqG+/OUv893vfpctW7bQ1dXFd7/7\nXd59912+9a1vpXp8nrMm3Lzttx5HoiJDhIvFyZJspoiICERKobwcgBvp8LAuGJ9nw0gqsBg3bhxr\n167l9ddf58orr2TkyJF89KMfJT8/P9XjywiOtfjQPhYiybA2nBIWERHJFgaPN8iLnty1SdYjpUZS\ngcVbb73FhAkT+Ju/yc7SBieSXlK3v0hirgXjKLQQEZHs4RiPrxNtNGMxBEqhvv/979PZ2UllZSWT\nJ09m8uTJXHzxxR/45u1onZqxLj4goIyFSGLWKmMhIiJZxZjTpVB3PXeAB26YgD+dH7L1LIXyUFKB\nxSOPPMJ7773H7t272bNnD8899xwnTpzgsssu45vf/Gaqx+iZ6BvEsRYHl25PRyMyNLiAMdrzRURE\nsocx4eZtay3/09xJyLXpDSyimYqhkLEA+NCHPkQoFCIUChEIBNi5cyfHjx9P5dg8Zy0YazG4+N2Q\nSqFEkmCtRZVQIiKSTRwT7rEIRi4W075CVPSEQyFjsWbNGvbt20dpaSmVlZVce+21fOUrX2HYsGGp\nHp/nDOGyDp8NYa2ulkQSsVY7b4uISHYxhP/+BSIlSTbda0TZUPi/Hu+NkFS9woEDB3AchwkTJnDR\nRRdx0UUXZUVQEX1povtYqMVCJLFwKZQiCxERyR4m0rwdDIWvFr3LWAyBUqj169fT0tLCnj172LNn\nD/X19QQCAS6//HJqa2tTPUbPnC6Fsvisq1IokSSES6EUWIiISPaIlkIFIhf4ab++t5lRCpV0h2Vp\naSljx45lzJgxjBo1itbWVnbu3JnKsWWA6KpQNtxjoZSFSEIqhRIRkWxjjMECgVA0sEjzRaM7hJab\nXbVqFXv37iU/P5/Jkyczffp0vvSlL3HhhRemenyesoRr5qIZC8UVIom5Fhx1b4uISBYJ72NhCEY+\nhU573sAOoeVmZ8yYwa233sqHPvShVI8no4SDvtPN265W5xdJKJLn83gUIiIi6WOcSMbC9ajHoufO\n2x5KKrCYM2cOoVCI3bt309LSQmlpKZdddhk+ny/V4/OcIVIKpeZtkaRYrDIWIiKSVWKrQqkUKrFD\nhw6xatUquru7KSsro7m5mZycHO655x7Ky8tTPUZPGcKb4zkqhRJJinosREQk2zjGEMLLjMUQKoV6\n4okn+Nu//Vs+/elPh5tTrOXXv/41//Iv/8L999+f6jF6JlwJZcGC33VVCiWSBNdquVkREcku4eZt\n0yNjkeYBZMjO20nvYzF//vzYxYIxhk9+8pP87//+b0oH5zVrw6kth8g+FkpZiCRkQcvNiohIVjEm\n/Pcv2ryd9g3yoqVQ7hBYbvaCCy6gqamp12179+6ltLQ0JYPKFJbwHhagHguRZKkUSkREso3jGFyb\nCaVQQ6DH4uabb+bBBx/kox/9KCNHjuT999/n9ddf54477kj1+DKCY7UqlEiytPO2iIhkGyeSsfCs\nFCoayXicsUgqsJg+fTqrVq1i+/btHDt2jPHjx/O5z32OsWPHpnp8nortvG20j4VIsqz2sRARkSxj\njIPttY9Fmq8ah0LGorOzk02bNvH2229zySWXsGjRInJzc9M1Ns+d3iDP4HPd9G92IjIEWcK/YEVE\nRLJFeIO80xmLtJdCRU/o8apQcf/6P/nkk7z22muMGzeO//qv/+JnP/tZusaVGSKv0d+0NDHp+FuR\nrfK8dawz6PUQROIKl0J5PQoREZH0Ca8K1aN5O0t7LOIGFjt27OBb3/oWf/d3f8c3v/lNXn/99XSN\nKyNE+/o/1rqX8lNHPC+Feruti2/+7m2PRyGSgJabFRGRLBNeFcoQiPQ4eLdBXgZnLLq6umIrP40c\nOZJTp06lZVCZwgLGAo6Dg/W8efvd9m5OdIc8HYNIIi7qsRARkeziGMfbUqhoIJP2E/cWt8fCdV12\n7doFhCOvUCgU+z7qiiuuSN3oMoDBguNgbNDzjMWREwFOBdTpIZnNKmMhIiJZJryB9OnlZtN+zZgh\npVBxA4vi4mIeeeSR2PdFRUW9vgeoq6tLzcgygQ3vYYFxMJFdLbz03okAQdcSCLnk+NQcK5nJBYwy\nFiIikkWMAbfHzttuKM0VJjYzmrfjBhYf6KAhCdFVoXAcHGs9XxXqyMkAAKcCLsUKLCRDaedtERHJ\nNk60eTsUvlp0g2kOLNzMyFjo6jSOcI9FZmUsAJVDSUZTKZSIiGSb8KpQhkAkoLBuujMWkWvDobBB\n3vnw8MMPs2PHDkaMGMFDDz0EwMaNG/nDH/7AiBEjAPj85z9PdXU1AJs3b2bLli04jsPSpUuZOnUq\nAPv376euro5AIEB1dTVLly5N2ZhttAHGcTDW28DCWst7JwKMLvQrsJCMFl5uVp9ZiIhI9nAcE27e\njgQWbrqbqGP7WGRwj8X5NGfOHG688UZ+9KMfxW4zxjB//nzmz5/f674HDx5k+/btrFmzhpaWFlau\nXMn69esxxvD4449TW1tLRUUFDzzwADt37mTatGkpGbO1Nty8bUxkVSjvdARdXGsZVZjDqYBWhpLM\nZTEY4/VSByIiIulzZsbCTXfmIEOat9P2sWJlZSWFhYV9bu9vnd/GxkZmzZqF3+9n9OjRjBkzhn37\n9tHa2kpnZycVFRUAzJ49m4aGhpSNOZajcBwMxtOMheuC32cYluNTxkIyWniFZmUsREQke0Q3yAsE\nI/tYpDuwyJCdt9OWsRjIc889x9atW7nkkkv40pe+RGFhIa2trUycODF2n7KyMlpaWvD7/bF9NQBK\nS0tpaWlJ3eAs0YJxjM/BGhPOYnhQP+4SjgKH5Th0KLCQDGatmrdFRCS7OE54Vahg0KMN8rItY9Gf\nG264gR/96Ec8+OCDXHDBBfz0pz/1cjh9xHosMBifP9Jn4dFYIgHNsBxHGQvJaOHlZpWxEBGR7GGM\nE1kVyqNSKDfLmrf7U1xcHPt67ty5rFq1CghnIpqbm2M/a25upqysrE+Gorm5uVcGo6empiaamppi\n39fU1FBUVDSo8XW4DgZw/D6s34/BMnx4ET4P1ugP+AL4HENxYT4hxz/gc8nNzR3085TB0RwnYAwF\nBflnPUea39TS/Kae5ji1NL+ppfk9O05BARZDiPCmyvl5A/8dTMUcd+fncQooKCggJw2v38aNG2Nf\nV1VVUVVVBXgcWLS2tnLBBRcA0NDQwPjx4wGYPn0669atY/78+bS0tHD48GEqKiowxlBQUMC+ffuo\nqKhg27Zt3Hjjjf0eu+eTjGpvbx/U+NrbOzDYcNma4+BgaTveTo4v/YFFe0cQrMVvg7S2dw/4XIqK\nigb9PGVwNMfxuRa6uwd+jyai+U0tzW/qaY5TS/ObWprfsxPo7sJlOF2BALluiFMnT6b1Ws2eOgVA\nx8mTdKb49SsqKqKmpqbfn6UtsPjhD3/Inj17OH78OLW1tSxZsoTdu3dz4MABjDGMGjWK22+/HYDy\n8nJmzpzJihUr8Pl83HbbbbG+hmXLllFXV0d3dzfV1dUpWxEqrEfhk8+PIdzQjQdN3KdLoXw0nwqm\n/fwiydLO2yIikm2c6KpQIUteqJtQmpebjTWLZ0vz9p133tnntrlz5w54/8WLF7N48eI+t19yySWx\nfTBSLrrcrOOAzxfusfCoycIN95BToOZtyXAWo+ZtERHJKsaEF/kJuJZcN4BN9wW+zYx9LNRhGYd1\nIwvMGgM+X3gvC49eL2tPrwp1KqjAQjKXRc3bIiKSXYxjMNbS7UKOG+yxAFCaxHbeVmCRsWJLhRkD\nPn8ksPDmBXO1KpQMES7GkyWZRUREPGPCO551u5DrBtJ/vZghpVAKLOKymMg+Fl6XQlnAMeB3TNrr\n9kQGSxkLERHJKsbgYOm0hvxQtwcZi8wohfJ8g7xMZm2kTds44HPCK0R5NJZoj4UxeJY1EUmGC8pY\niIhIdjFOJLDwhQOLdGcOtI9F5gv3WESu6CPLzaZ9J8XoWKzFMeGmWCUsJJNZDI5WhRIRkWziGAzh\ncuC8UDeuVz0WKoXKZD16LByPV4UinD1xjOd9OSJxaedtERHJPuHmbR8uOTaY/g+iIxeHXn0AHqW/\n/nFY23tVKC9LoawNBxUG4/mbRiQei9E+FiIikl0iPRZ5uDjWepCxiJzP41IoBRZxWPquCuVlKZQx\nBsf02rZPJOOES6H0q0VERLKIE14VKteGcKyb9sDChlz+88KrPW/e1l//eFwiPRanN8jzqgzJjWQs\nHON5MCoSl3beFhGRrGMcDJBnQxhs2pu3Q9blscs+q8BiSDCAzx95o3gzBEu0x8LgKmchGSy887Z+\ntYiISHZxrCXXBsM9uWn+JDoUq4RSKVTGsq4bW27W+Hw41p4uj0qz6AZ5xngejIrEZQmvoiYiIpI1\nHCdSChX0ZENlNxJZeL0lgf76x2HpsdxsJGPhVSlUrHlb+1hIhgtv5qhSKBERySKRnbfz3EBkFdF0\nZyzCmQqrjEUGs5F/jAGfE85YeNhjYQCf9rGQDGeNwfj0q0VERLJIZIO8XDeAcRwPS6HSeto+9Nc/\njt7LzUYyFh6VQkVXhTJoVSjJbOGdt/WrRUREsogBYy15oQCO46S/FMpVKVTGO10KdXpVKC83yIuV\nQillIRlMO2+LiEjWMZEei1A3xuek/VotZKOBhUqhMlbstXEi+1hY1/Mei/CqUCKZK7xBnn61iIhI\nFjEGx0JesAvHcdJeXRItgfL6s2f99Y/HRjIWhHfezrFBAiFvXjG3xwZ5Xr9pROJxjTbIExGRLBPJ\nWOSFujGOdxmLdPd2nEl//eMIl0IR67HICwXoCnmTL7CEXyxjjGe7f4skQxkLERHJOoZY87bjwbVa\n9PLU63J5/fWPI/amcBxwfOS5AbqCHgUWkVVvHe1jIRnOYjBablZERLKJccLN28FujONBYGHVvJ35\ner44Ph+5oQBdQY9LofD+TSMSjzVouVkREckukX0sckPd4X7YNGcOtCrUUBBbbja8KlSe2+1dKZQ9\nXQql5m3JZCqFEhGRrOMYHBvtsTBp354gto+FmrczV7htO7Ickz/SY+FRxiI8Fhde3aZSKMlornG0\n3KyIiGSZaMaiK9K8nd6zq3l7CIhdwBvjecbCtRbT2YH5f497nuYSGUi0ptQ4Po9HIiIikkY9eix8\nXjRvxzIWCiwyV6QUyhBdFarbs+Zt14ITDOB0d3re8S8yENeCY91wlk9ERCRbOAYHl9xglyfN265K\noTKftdFSqEiPRajbu1IoCyYYwGC13KxkLAsYa8EoYyEiIlnEhHssws3bTtozB6czFtp5O2P1Wm7W\nlxMOLLwqhcKGAwsn/W9WkWTZ6KaSyliIiEhWMRjrkkcI48HWALHlZtVjkckipVALv4Cpvpq8oLcZ\nCyfYjXPxRDVvS8YKl0JFNl0RERHJFo7hlkN/4NIT74ZXhfIsY5HW0/bh9/b0mc1GeyxGjcHacKe/\npz0WgW584ybgKh6UDGWj/9ZysyIikk2MQ1Xb/4JjcUh/xsK14Q/0vC6X11//OHq+OMYY8twAnZ7t\nY2ExgW5MSSngfde/SH9c1+Jgw3u/iIiIZAtjIBQEx4fxYFWo6HVh1mQsHn74YXbs2MGIESN46KGH\nADhx4gRr167l6NGjjBo1ihUrVlBYWAjA5s2b2bJlC47jsHTpUqZOnQrA/v37qaurIxAIUF1dzdKl\nS1M36DNenDw3SLdHGQsLmO4uKCnDaXXDkbCqTSTDWOtiIrvEi4iIZA3jhAOL3DyMSf8FftYtNztn\nzhzuvffeXrfV19czZcoU1q1bxxVXXEF9fT0ABw8eZPv27axZs4Z7772XJ554Ihb5Pf7449TW1rJ+\n/XoOHz7Mzp07UzjqSCNqRL4NeFoKZQJdmAtKcbCev3FE+uOG3F7/z4iIiGQFA4RCYBwck/4L/FCk\nFMrr68O0BRaVlZWxbETUq6++ynXXXQfA9ddfT2NjIwCNjY3MmjULv9/P6NGjGTNmDPv27aO1tZXO\nzk4qKioAmD17Ng0NDSkbc3i52dNyXe923nZDQZxQEIYXY6z1PNUl0h/r2nDztoiISDYxTjiw8Plw\nMN6tCpXN+1i0tbVRUlICQHFxMW1tbQC0trZSVlYWu19ZWRktLS20trZSWloau720tJSWlpaUjc+e\n8clrnhvybLlZGwhijAM+P06fkYlkBmuVsRARkSwULQF2fBin7zVkqkWvTr3+bC9jVoU63zXZTU1N\nNDU1xb6vqamhqKhoUMfIz8vDMcQel0eQgMugj3M+5Oa04hgoHFGE4RjDCodTmNt3E7Lc3FxPxpdN\nNMcDCwTDm0qey/xoflNL85t6muPU0vymlub37LihAMcBx59Djj8Hg2/AeUzFHFsnfE3o+Pxpef02\nbtwY+7qqqoqqqirA48CiuLiYY8eOUVJSQmtrK8XFxUA4E9Hc3By7X3NzM2VlZX0yFM3Nzb0yGD31\nfJJR7e3tgxpfR0cnWBt7XJ4N0hEIDfo450NHxykMcLKjA8e6HG9vx+0nsCgqKvJkfNlEczyw9vZ2\nnB7/z5wNzW9qaX5TT3OcWprf1NL8nh178iQQzhy4boigO/D1YirmOBB0IQe6A4GUv35FRUXU1NT0\n+zNPS6GmT5/Oiy++CMBLL73EVVddFbv95ZdfJhgMcuTIEQ4fPkxFRQUlJSUUFBSwb98+rLVs27aN\nGTNmpGx80X0sovLckHc9FtaGs2zGwbHW81SXSH+sR6WCIiIinoous+7zYfCgeTvyX6/3sUhbxuKH\nP/whe/bs4fjx49TW1lJTU8OiRYtYu3YtW7ZsiS03C1BeXs7MmTNZsWIFPp+P2267LVYqtWzZMurq\n6uju7qa6uppp06albMxnvji5NkhXyIYDjjQvp2lDkSDH58NoVSjJUK51w/tYiIiIZBMn2mPh4DgG\nG4p/9/MtFPkoPM2n7SNtgcWdd97Z7+333Xdfv7cvXryYxYsX97n9kksuie2DkXJnrArlc8L/BFxL\nri+9gYVr3fB71lHGQjLXmVk+ERGRrBD9wNnnw2A828fCelw4oO1x4+izB51xyPMZT8qhbPSTYMcJ\nZyzSPgKRxGwovEGeiIhIdjm9KpTjeLDzNlm2j8VQFH5T9HiBjMFvIOTBIsHWjXwS7PhwrOv5G0ek\nP1alUCIiko16lEIZQ9o/AI7tvJ3m855JgUU89oychePgM4agBxf1rhvp61AplGQw7bwtIiJZKdq8\n7fhwjAcb5EWuV72+PlRgkUCviyTj4HMSZyx+/PoR2rvOb/uMjfVY+DDKWEiGstbql4qIiGSfnj0W\nJlzv0tYZTNvpo5mKrN55O9NZe2aPhcFnEr9of/q/dt4/GTi/Y4mVQjk4WM/fOCL9sa4yFiIikoVM\nj1WhjMM7Np97fvdW2k7v2miPRdpO2S8FFnH0abwxBh8QTPCqBV1LR/D8Vrm50U+CHQfHup6nukT6\n4yqwEBGRbNQjsDCO4RR+3j8ZSFuFSbQUyvX4b7ACi3iim9JFOcmVQoVcS1eCwML97UZsy9Hkh+JG\nxuL4MFb7WEhmimXWREREskmPHgtjoNs6BF04fp5L4wcSa95WxiJzWWzfUigSv2hBS8KMhf1zA7x/\nOOmxuK6LMQbjOOEeC9frvn+RvsL7WCjoFRGRLNOjx8IxDt2RS+zmU+npswhFzu/1X2AFFnH0SQo4\nDj6TuBQq5Fo6Awku/EMhcJOPYl3bYyUzLG7I670VRfqyrpq3RUQkC5ke+1gY6MIHwNFT57fndiCn\n97FIy+kGpGuAOMLN22esCmUglKAMKehaOhNtohcKwiCyDj13NHZAGQvJSK4NqRRKRESyjokEFsZx\nMI4HGQtrMNhYSZRXFFjEdUYplM+HD0soUTLCtXQmat523UFlLGx0HwsI72PhdUgq0g/rWu28LSIi\n2ck4kR4Lg41cs6UtsMCQg/f7nCmwiKPPqlB5+fisGzdjYW04WkwYWISC4XKoJLnWxkqhjFEplGQm\n61oco8BCRESykGPA58Su1yCNpVDG4MfVztuZrM8+FgXD8NlQ3FWhoimohMvNDrLHIrZBHoRXhVIp\nlGQgV6tCiYhI1jLhjIUTvry+oMBPSxpLofzG+33OFFgMgskriAQWA98nGnQk07xtE9VU9eC6p+v3\nHMAOIigRSRdrXQUWIiKSnYyJrAoV/ks4ItdH1yCu9c5FyBhyDMpYZLYz9rHIL8BxQ3FLoaIrRnUl\n1bw9mIzF6bE4WKzX3Tki/QivCqX3poiIZCHHhDcyjpSYFOQ4BNJ0vRbtsVBgkcH69FgUDMMfCsYN\nLKIZi4SlUK47qB4La20sAjZASKVQkoG0caOIiGStaPN2pBRqWI5DIE21SS4OfqPm7YzWp8civwCf\nG78UKpqoSKp5e1D7WJwOLMIZCwUWknmsdfVLRUREspSJ7WMBHmQsjPaxyHC2n8AiEL95O9pjkVTz\n9iD3sYiWQhlwrQILyTzW1c7bIiKSpSKrQkUzFgVpzVgY/Ob0RnlR3SE34cbO55MCizjC6aQeL0b+\nMHzB+KVQwWQDC3dwq0KFXHqVQlmVQkkGslY7b4uISJYykR6LyPXasByHYDozFk7fHotf/Pkom5qa\n0zIGUGARl+0nY+GEAglXhfI78VeFstaGMxaDKGfqORYHi6vmbclAWm5WRESyloc9FiHjkGNMn8Ci\nvTvEq++cSMsYQIFFfGf0WJj8AnyhQMKMRWGuL37GItq0PdhVoSJvVIPF1XKzkoGsdXuvpCYiIpIt\nTO8ei2E5vrT1WLgY/A64tvcf4Y6Ay77mTtq70nPdqMAijj7xQ/4wfMHuhBvkDc/10RlvuVl38IGF\n6xJ7o4b3sVDGQjKPDal5W0REslRkH4uePRZB1/ZdZTQFQsbB79Cny7ErGN5gefeRUykfAyiwiKu/\nUihfMHHGosDvELJ24GaZaMZiMMvNYmPrIjsmXHIikmlCrjIWIiKSpSI9FiZyvZbjGHwOJGq7PR/C\nPRamz6pQnUGX4nw/JxNt3HyeKLCIx9Jng7xwxmLgh7iuxecY8nzOwOVQocj27oMqhTpdlmUAV83b\nkoG6Ay65RkGviIhkoUiPhWPCl9c5PoPfcQik4ZrNNQ45Tp/1TOkMWobn+uJW25xPCizi6LtBXgG+\nQPxSqKANN2/n+szAGYtoQDGI5m3XWkzPfSwUWEgG6gpZ8jzf91NERMQDJrzcrBMphfI7hhyfScvK\nUCHCQcyZH1l3Bl0KIyVZ6aDAIp4zA4u8YfgCXQl23gafY/A7ZuCGneDZNW9H36jGqMdCMlN3yCXX\n0XtTRESyUKR5O5KwIMcJlyelY2WokHHI8Tt99rHoDLoMz/MpsMgEljN23s7NxecGCcXJNARdi98Y\n/PEyFtFSqMH0WPQoy3JQKZRkpq6QJU+lUCIiko2i+1g4p0uhcnxxPmg+j0IY/D5fn2qbzqDL8Fxl\nLDJCz74GAGMMPschGAgM+JhQpMfC78QrhYoEBYPYPdu1pzfIC++8rYs3yTzdIaseCxERyU6xjEUk\nsEhTxsKGQuEei34zFuFtEAZRfX9OFFjEZfuscOP4HELBgTMN0R6LnHiBxVllLGxslQE1b0um6nYh\nV6tCiYhINnKc8HKzkYtH/1lkLOyeP2P/undw5w10EzK+8D4WPS5cg67FteHVStOVsfCn5SwJfPWr\nX6WgoADHcfD5fDzwwAOcOHGCtWvXcvToUUaNGsWKFSsoLCwEYPPmzWzZsgXHcVi6dClTp05Nybj6\nS07oeh4AACAASURBVAr4HXDjBBY9eywSNm8PZh8LCyZStOeox0IyVJdrKVaPhYiIZCvHd7oUKtpz\nO4hrNvvfjZCTg7n08uTPGQwQcnzkOE6va9fOoEuB34nf93ueZURgAfCd73yH4cOHx76vr69nypQp\nLFy4kPr6eurr6/nCF77AwYMH2b59O2vWrKGlpYWVK1eybt262It4PvXpsYBwKVQyPRZOnFUAQmex\nKhSc3scClUJJZup2IddRykJERLKQcXrtY+H3hUuhBrUqVDAAp04O7rzBAN2On3y/6VUK1Rl0yYsE\nFh3Zto/Fmc0mr776Ktdddx0A119/PY2NjQA0NjYya9Ys/H4/o0ePZsyYMbz55pupGVOf1YDBcRxC\ncUqYYj0WvjgRavBs9rE4vdysMUalUJKRul1Drs/rUYiIiHjAMX0zFvGuB/sT6MYebx3UaW13NwHj\nJ89vei343hl0yfdHPuxO0wfSGRFYGGNYuXIl3/jGN3jhhRcAaGtro6SkBIDi4mLa2toAaG1tpays\nLPbYsrIyWlpaUjKuM5u3IRx9JlwVKtnm7cGuCtUzYzEES6FOBZJ/vjI0dSljIWfB/cVj4fS/iMhQ\nZhyMzzndvO1zws3bg8lYBILQNrjAIhgI4sPFb87IWAQs+ZGMRaKsiX19O3b/G4M6b38yohRq5cqV\nXHDBBRw/fpyVK1cybty4Xj83Z3ZQn6G/nzc1NdHU1BT7vqamhqKiokGNK8fvx3GcXo/L8fsxxgx4\nLH/uKfLzLPkBiz8vv9/7BfJyOQn4fQ6FyY7JOOTl5lJUVITP5+D3+/s9dm7kPpmmIxDito07eXjx\nZMZfUOD1cM5Jps5xJggaH8MLzm1+NL+plYnze/LEcfwnj5OXYeM6W5k4xx8kmt/U0vyeveM+h4LC\n4ZHS/hNcMKKIgryj+PPyes1pvDk+iUuwvW1Qr8Fxfw65Nkh+QQG2xzWq0w6FeTkUDsvHOenGPebx\n324k92PXkz91elLn3LhxY+zrqqoqqqqqgAwJLC644AIARowYwYwZM3jzzTcpLi7m2LFjlJSU0Nra\nSnFxMQClpaU0NzfHHtvc3ExpaWmfY/Z8klHt7e2DGld3dwBr3V6PMyZ8+0DHOtXRiRsKYFyX9pOn\naG/vO8U28thgV1fSYwq5LqFQKHx/69I1wGOLiooG/TzT4ZX/a+dUwOW53e/y+SmjvB7OOcnUOT4X\ntvkIdHZgxk04p+N0hizGDZ7T/HwQ5zeTZOL8hjpOEWxtoTvDxnW2MnGOP0g0v6ml+T17roWO7m46\nOjsB6Oo4iXFDHD9xivb2nNj94s1xqKMD2o5xvO0Yxkmutrj1WBs5NkQg0I1rT1/vthw/QY6xBLu7\n6IhzzWnfP4z79n66JlYRSOK1Lyoqoqampt+feV4K1dXVRUdHBwCdnZ3893//N+PHj2f69Om8+OKL\nALz00ktcddVVAEyfPp2XX36ZYDDIkSNHOHz4MBUVFSkaXd8eC5/PIRinvyHavB23WSfSW2EHUwrF\n6cyMY/r2pGS6hoMnuO6iEWx7S7+sMpFt3IZ98d/P+Tjd1iHXp1IoGaSzaVYUEck0xoBxYovt+J3I\ncrODKV8PBsL7nJ04nvRDuruD5FgX54xSqK4ezdvBOK259i+vQkEhtCd/zoF4nrFoa2tj9erV8P+3\nd97hcV113v+cO12jGXXJ6nKTixx3x3ac6sRpbAgEEkgoG0LALLwsBJYFFljY5WXhXRb2IeyGhN3Q\nEliSACkQm4Rs7MSpjp3IRY57kSWrd42m3/P+cWZGkq0u3diyz+d5/MiS7tx75ztH557f+TVUb4ZL\nL72UJUuWMHv2bP793/+dLVu2pMrNApSUlLB27VruuecebDYbH//4x0cNlZooQ63dbTYb8RHi1PqT\ntxm9j8U4ErBNOaAqlBATzrEwf/9LxNU3ITLP9PJYyYHWIF+6tIh7Nh0flIiuOUcIhyGxwzKp00iB\ny3bW9ys0041oBIJ9Z/suNBqNZnIIofpYGAZCSmwCHIYxzhyLiPra1Qn+rLG9JBrDRfwMwyIYM/E4\nRsn7BejpgqJSZG/X2O9zGM66YZGfn58yLAaSnp7ON77xjSFfc8stt3DLLbdYfWtDYrPbiI/w4SQb\n5I1YtzgeB5t9fFWhGNAgbxKdt+Wu7YiLVsA7bFiEoibpThu2hC56V/scIxxEhoOTPk0EA6ddGxaa\ncRKLQVB7LDQazTRnQOdth4whhKoKNa7mdNGo8h50dUDpzDG9JBKN4cDEsBkMvFQ4JnHZDGyGGHHt\nSiSCyM5DNtaN/T6HQa8ARmCocrM228iGxVga5Ml4HByOCTTIm4JQqEgYgpNfQI77snETl03gsgsi\nsekVxnVBEA5DePIeC21YaCZELIrUhoVGo5nuCANsBi67jdJgC8D4q0LFopCTh+zuHPNLItE4DiTC\n5cKU/dEwqtysqkw1onETjUBW7pSEQukVQALzgX9Fhvpd8Sc6w7zS6+H0iB2b3UZ8hEX9oAZ5I3ks\nHM7xlZuFVF1kwcRDoYiE37EHuDx+CNl8CoBwXOK0GzhtBuFxNAbUvENEQlNiWISx4bbrRhaacaJD\noTQazfmA3Q4OJy6nje/vexBIGBbj9Vj4MiA09jkxEo3hEiaGw4GUAhmNAhCOK8PCNpphEYtCdi70\ndk06h1cbFgnknh3Q0d8P40BrkOqQm9M7WYzusVA5Fip5e5iDzDg4XePMsRCpusiGEBPvvB155x7g\n8tknkDteRkpJNK7Cn1w2QeQdaiuvGTsyHILQVIRC2XA69LQyXZE1byEbTr7zF9bJ2xqN5jzA2Phl\nKJsNhi2VT+uwjddjEUGk+8f1TI7ETBxCYhMC025PhZaGYxKnXWA3GDkUKhqBtHQOZlTQ1dU79nsd\nAr0CAKRpqt3aQL8LKJLYVRdi8AehPBYDXnvyGHLnK6nvUw3yRoqpi8dUKNRkqkJNwGMhpYRo+B2L\nZZZNp6Cni2jC2DKESuwNj1SaQHN2mKpQKGHgsp/11C3NBJGvPo/cV/3OXzga1TkWGo1m2iOyctRa\nzeVSESKmOQmPxXgMizhOIVUOrs2e2kAOx0xcNgO7EERHqgoViSCcTh6p2MCu2vE15zsdbViAyjsA\n6O0vhZrcVT/NrsDmsA8KhZKH9yF3vpz6Pi4ltrEkbzuc48uxYEAolBBMKBIqHlNeknG41yaKlBIS\nhkUkJnElkrWddkFYeyzOPSKT91jETUkcA7tDGxbTFRkOnx3PQSyqQ6E0Gs15gzBsKjIlFJxYudl0\n/7g2+6IxE6dQES3SZk/N4+G4xGVXm92jeizsTjqdPiJ9k5uLtWEBqQ9PBvoNi5Tb6rQkC5vdPshj\nQSiEHPBAjJnKqJjyHAsJhq2/KtSEYuAiiRJm78QDvKtdVRrq6SIcN1NVoFw2oT0W5yLhyedYhOMm\nThlD6ByL6Us4CH29yOYG5cl9p4hGIRwaV28fjUajOafxeCHYp9aD4y03O95QqLiJw1ARLaYxMBRK\neSxsYgw5Fg4HnQ4vkb7JrQW0YQHqYQoQGMJjcdqhZxgW4eAgD0DcVDFuI7q+JuixEEJ9XDZjgjkW\nSc/MJK3RMdFYD5406O4ikkjcBnDZDZ1jcS4SDkM0MqmFXSQuccmYKqWsmZ5ElMfC/Ml34fihCZ1C\nhoLI9paxHy+l8qZ6vDocSqPRnD940iAYSHgsxrZRI6VU5bfT/chxGRYSp5HIwbXZUhvIkbiZ8liM\naFhEwsTtTrqEi0hyE3qCaMMC+q3C3p5Uea9UjgWn5Vg4TjcswoM8ALFkg7yRLNR4LGFYjH1HcFBV\nqIkmbyearsh3IhSq6RTMng+9CcOiux3Z3YnTJnRVqHORpLdiEl6LSEzilDFVFUMzPQkFkX290N05\n4ZAoufNl5GM/H/sLYjGV6JjmnRJvqvnaFuTBmkmfR6PRaCaFJw2CfTiMcRStiUXBbkd4POPyWETj\ncpDHQvapBOxwTKrO26N5LKJReoQDUxhEIrExX3cotGEBqY7DsvYI5tc/hYxFhw2FsjscxOWAn4WD\ngx6G8USDPMdI1qGZ7GMxDsNCikGGxeRCoSa+Kyjf3oV889XRD2xrRlTMhZ5uwtE4zr4uaGvBZTN0\nH4tzAPPpRweHukRC4HROyLCQUmI+/hDhWBynGQObDoWatkTCynPb2z3xXKzebmTPOLq3xqJgd0yd\nx6LmLeSxg5M/j0aj0UyGxJzmdqiiNTIaQXZ1jLx+i0bUfOj29EfTjIFIovGwEGAa/R6LZCi6bQxV\noTpNhzpXVBsWkye5mDq8X30Yxw4Nm2Bsc9iJDwyQCofODIUaQ46FcLjGlWNhQqrztjHR5O1IWC36\nJrErKA/tQ+54afQDuzsgOw+cTiKtLbhiEQgGcNl1H4uzjYyEkU88DJ2qvLKUUo1jX+a4JrIU4SBy\n02OEI9GEYeGY4jvWvGOEQ9DaDKY5KHdsXPT2KI/HWEnE9pLmnZLEcdkXmNg41mg0milEeNKQwT7S\nHAZ9URP5x//B/Lu/Rr7+wvAvikVVRIt7fB4LFQqlqm/KgYZFovP2iGvSxHU7TGUSRIbtlTA2LijD\nYlhRw0FIS1dfhYHcv5toYvEbPU0im8PBQMllOATBYMoCjZmMoUFeTO0OjyPHQsKAPhZMzLCIhtXi\ncTLhBuGQCnMaBdnVicjIAl8GoYZ6nKaq+uLUfSzOPsnOmm3N6msspjxzXt/EQqECajEY6gvhiYe1\nx2I6Ew5BR6v6/0SrhCU9HmMluUOXCBuYNH2BKenJotFoNJMi4bHwOmz0RU1oboSc/P5n71BEExst\nrnGGQpngsBmJUChbyvurciwShsVIS69IhM64enZHJllg54IyLELDiCVDQcjJU98suRh5YE9q8RsW\ng+PFbQ4n8YGyhYIgzdSCbKDHYvjkbTMRCjXYsJDHDmH+8bcAmM8+jtz9Rv/v6M+xMIwzQ6Fkfe3o\nibeRMGRkTdKwCELTqdFDsbo71LV8GUQaG3CaUWSoT3ksdFWos0uvClORrU3q+0gIXG5wuzF//qNB\nfVnGRCKWM9QXwhWP6OTtaYo0TaLRWL9HdoLzhAz0qHy1sW6cJDwWwuNFTkUoVF+vNiw0Gs3ZJ7FZ\n4kl6LNpbEBVzR/boRqP9oVDj8VhIcNmVx8I0jP5ys7FEudnRKlNFI3TGBGmGOenN3wvKsBh2QRsO\nKSsSEMtWQ2tTStjQ6R4Lp+PMUChIhUOFEx2mR0/edikDYwDy6IF+Y+LYIeTJY6nfmfR33h4qx8J8\n4P/B4beHvl6SSAT8mRDqm3jL9nBYGRdd7SMf19WpvCO+DMKNDTjjMQgGtMfiXCAZ/540LMIhcLrV\nDkn9CWRj3fjOlzQswmHc8YhO3p6uRCP8bO7NbJ2xUn0/0RyLQK/abAmMsXtr8kE6RaFQ9AVG9LyZ\nr20h/sn3pDZxNBqNxhISVaGSoVC0t8DMUQyLWKQ/FGpcORYCh82mGigLA3moBvO3/0U4bqZCoeIj\nrftiEToikO8wx9clfAguKMMiNJwfKBREJA2LykWqW3Ri0R9icFiHzenAPN2wECK1u9cdjuF320bv\nYzFUKFR7c8pFJgM9g8rfmohhG+RJKaGtedQSjzISRnjS1EM8WXp2nMjkQG+sH/4Y01ShEP4MxEUr\niXR04LQBfX247LqPxdlG9nSDMKAtaViEweVGuD3q+8628Z0wsRgMhaJ4YiEdCjVdCYfocvlp8Beq\nzzCxWybHE9YE6m9fiH4DdjSSORZTFQoVDIxcpvFULeLdH0S867bJX0uj0WiGI1HpLs1hEIzGkYEe\nROnMkYtbRGNqjWZ3gJTIWHRMl4pIcDoMBGAKA1qbkC9sJhw1+z0Ww6xJpZSqKlQMcl2C8IRi7fu5\noAyLET0WvgyMz/xDwnMhiYTUwjt8umHhcBITA2QLB1Ujk8QDsSsUJ9NtH70qlN1xRvK2bGuGni5k\nJKx2+wY80AfmWKg+FgNe2NutDIVkbPRwRBOWsGcSO4PhMGTnjryrHegBjwdhdyDWrifizcCZlgah\nPpw23cfirNPTBUWlyNZEnGckBC6XCocCZOco3qjTkCmPRRR3PKw9FtOVcIiQw01rWraaB4N9yN5u\nzK/crTpyj5VAryrc0DNGgySaSFZMm3xVKBmLJQpqjGBYtLdCdn5qPtVoNBpL8KRBXx8Om1rwR7IK\nICN7lFCoiAoNFWJceRZRKXDabRiGUDkWxeWYN3+YmClxGCKVmztkZaiYqubYGzHJ9tiImKd3cOtH\n7t+N+dT/jHgvF9TMOqxhEQqC24O5eLX6MH2ZRLrVQ/FMj4WTmLBxsivxoA2HISsHQn1E4iaRuInX\nYYySYxFTrd5P91i0JTwO7S0Q6EH29nss5GmhUIP6WCQTgUYzLCJh5SmZTMhBOIiYvQBqjw5/TFcH\n+LPUvTocRK+5GVe+Wqi4dB+Ls09vF6JiTn8oVCgZCuXmpXlXc2y8m8aJkJdQJIorFtI5FtOVcIig\n3U2rKxPyC1W/m55utVA/uGfs5wn0QGFJKpdnVFLJ21MQCpU0TEYIhZIdbYisnMldR6PRaEZhYN5Y\nmiEJ5hSCLwN6RgmFsicqK44jzyKCoQwLAabNgfHNe4nml+IihhACkSgqNGQ4VGLTuTcSJzvNSVSO\nYFjs2YF8c+Q8zAvKsAgNt1MeDhF2ePjYHw6rxnjpfiJRteg/3bBwuF18sG4r33r+ZOK1QWWBBvvo\nCsXJcNkRic7bw4dCDZ28TVszFJYqA6MvMMhjYTKgQZ4hGDQ22prB7kB2jBLCEokogybNm4qLHzfh\nMMxfPHKd+GTidvKyLi9OpxMZDOC0GYR1H4uzS083lM9V/Qb6AimPhVi0nD9VXMUemTm+8yXGUjAS\nxx3VVaGmLeEQQZuLVocfkTdDeWETn63cs2NMp5CRMEiJyM5Hdo81FCqWSN5OG1eJWxmLEv/HzxD/\nl7/r/2GgV4VhjfQw7miFrNwxX0ej0WgmxIDwTg8xgtkFkO5T3uCY6hUhpUQeP9T/mmiigTIMa1jI\n1ibk/t2DfhaRBg6HDQO18SyEIJzmUyXgE9iNYaqjJoyZ3kicnHQnkZFMg94exDXvHvFtX1iGRTQ2\n5OJbhoOcIJ2ucJyGnij4M4kkxD89FAqHg5trt9IRjGFGI+oh6stABvvoDMXIcNuI/+ifsLU1Em2o\nR8aiyK4OdZ1dbyCrXxuy87aMhCEYQFTMRbY0qp23wGkeC1uij4UhGLjnL9uaoWKu8nSMRCSsksbT\n0idhWCQ8Fs0NZ8Qxy4aTmL/6D2RnB8LXvziNxEycTjsEenFu36IaxbS3Ik8cQda8hdyzE3PrJmTd\nMWQsqs4RnVxLec3wyJ4uVQq4dCacOKw+R5eb2IJlHI066TQdqirZnh3IWAxz27PIzjbMV7eo19ce\nRTbWq88rHFZjSRiEojE88QjC0IbFtCQcImhz0mb3Yi5dqx5ofb3gz0Qe2Du2cwR6Vdlin398ORbJ\n5O3xhEL1dENvN8an/6H/Z8GA2tQYxrCQUkJHmzYsNBqN9bhV8raMRUnr7SA4d4l6Pqal9+dZdLRi\nfv+r/QV1YioUCgCXG/O3/0X83n8eFI4qq1/DfOYPSNNU/8IhoghcDrtK3k4cF/ak44pHkIf3IetP\nJPIshrjPxKZzbzhOli9tRMNCBnoQXt+Ib/uCilkI7d2F+fJvEDe+H9pbEVfekMi8D3HcVPHldd1h\nSn0ZRBLShORpAjucOISJyyYI9IZIc7qVVRrqo/PpJ8jwVUHNm9hKFhKThcjn/4R8/CHEXfcg39iG\ncLiQ8RjC4RxcFaq9RT3s8mbAyWNq13cYj4UhBGYsrgZaezPy6AHE3AXIbc+mjpfRKHS2IfJmIBtO\nIne+jDxVi6iYi/CmIwO9DO/sGoFwCLzpUFwOJ44gfX6YUYwwbMjnn1bv0ZcBBYUANPVG6A7HyXA5\nofYojqY+wpfOxfzW30NhCaKwRDXjqq9VGswoQW57FnHljVA2ayJ3qEkg976JfOs1jI98GvNX/4G4\naCXy7V1w/BBcdwuiolLtlNSfQMxZyNGOMDETOtKykE/9Fmm3Iz70N8iH7oPbP4H83c+RS1ZhPv4r\nRFEZcv8exMWXqT4WWdmEInHccmyJZppzkEiIoPBgGAad/nyygn3IQC+UVKgxMxYC3WpHrqAY+ear\nY3qJjEYQEwmFCnSDLwORmd3/s76AmkdPnRz6Nb3dqlCByzX262g0Gs1EyJuhkqhf+V/SDDd9sxep\nn/szMbs6IKdAbXREImru8qYjo1E1HwJkZClP7sEaVWylqEz9vK0FmhuRf/gl+LM4vu8Q7b51OFxO\n1Xk7sTEecXmVYfHiM5CTj02uJBaJIg+8CYtWQFM9orAUolGkw6FyLDI8RIQNacaH3iQM9KjNoxG4\nsAyL6h3QfAr5+EMQCiFffT6VpHg86sTrMKjvioDPTzSgpImIwcIKISA7D78denr7SHMlDIu2FjqP\nNJJR6AUpsdXsJFZ8M/L5p2HBUuSjP4NYFJmRBfE491XO4Ma0PGaaJsIwkH95ClFZBXkzlFcjO09V\neorHETYbEoGRCDExfJnIcD3ml+8Cw4BYFLHuGuRfniSy/UWksGH+7x/h+GGM7/035v/8VMXTtzRC\nZdUkPRZh9vVC2vxLKH9hM3LX62rxadiQ218EQNa8hXH9LQA88EYTuxr7+MRcJ/T14rJHibS3wYIl\nUPOW6r0hJTTWIYWA6u2QlYtsOInQhsWkkAf3IHdsQy5eqYxOM458Y5uaxHx+mDkX+dxT0FSPcftG\nDpwMUuhz0NGXhVi+FhkOIrc9A9JUrzNN5HN/hP27lRv3VC3yhT9DQRFk5RKKmbiYXMdOzTuPjEZU\nTlcoREj4Kc1w0iqdZIVUKJTIm4E8sFc98ByjdFXv7QFvOmLxSuRv7keGQ4hEUYBhmWhVqN4eZcQM\nfC99vSrn7fhhZGJuHUS7DoPSaDTvDMKTpjZLN/0Oz8WfIZgMA/dnqiIpOQWp0v1y707koRoon5Py\nWBgbv4yw24l//6sq4TthWMjWZmhrQh45gJmVw7czrmBJoY+CmaWEYpK+qMmLx7spTHfjioWRXU0I\nYWA3eoi9vQvzwe9i/J+vY/73DzH+9h8xf/dzIo40hAC/y07E5lRe37T0M9/UEPPu6VxQoVDhaByW\nXwKGDbHyEsTcKhVLfOIwx0J2VpemU9cdAV8mUcOObbgGTzn5+I0Y3YEQuN2IqmXIrZvo8uWR0dEA\nLjeOplpihgPamjGuehf4M1S1nKZT0NFKTcDGnuxKtVhrOInctR3xgU8gikrh5HFVaSrNmwqHGpi8\nbeTPQC5dg/GNf8f41r0YP3wYFq1ArLqcyJZNmH/8HxXqkpmtFoYnjiBu/pC6d+fEQ6GklBAJ8cua\nbl4tXqkSeHIKkL++H/nMHzA++hn1R3HicOoPoKEnQsyUOBM7hE7ihMNRxJJVyvNRe0R5aFxuqD8B\n6T7EpdfAqdpx359mMPLkMQj2Yf7yx4jr34fc8QrkzsD4wrchv0iVVna5Ee//GMKbzlunAlxW7qfD\nm4246kZE+RzYv1vFrB/ah7j5Q8jnnoS8QjhUoxZwLg8c3IvIziMUB7c2LKYdcvuLmL+4l2gi4bnE\n7+RUWEAwmDAU/InQphESDpPn6mxHZGQrV/nMStj7JvLtXcjuDqRpYj7zOLKvF/PFP6vjG+vg+OGJ\nhUIFetQ8OZC+gLq2wwFH9yOjURXD3HwKGYupnbvc/LFfQ6PRaCaBmFsFbc14szJVLwtA5BZgNjcA\nA6owVr+uvLzJ0FBAJCosCl8mcmAlqfZmVVX06H5213eTFQ3w+esX4HPZ8blszM/zcP8bjYTjEhcm\n1B9Htrdgj0WJHj2k1p37qqGvF1nzJhx+m16XF6/ThsMmiNocw+epBUY3LC4oj0V49kKMDcugoRYW\nrwJhqApLN99B7TOt3Frm5ze7W4n7M4i32PiH478niA346qDziJx8fPEQXQHVdl3MWYj48Kfp6ptB\n5vbnEEtXY9+5nZjDpRZls+chLr9efbg11ZCZRVcoziF/mdpFPvw2YsFi5fIqKAGkcjUl8yz8mZii\nv9xssmxYsvdG6r7u+jzpPh89PQljZMdLmD/9N8Q1NyEqF6m4O4cTvF5oaRq/gJEILd5cDrSGKM3I\nQNx6F+KiFciXnlPX8GchDuxBHt4H+YXETUlTrwqNcXqUYeGaXUnEcCDmzkWWVChvhWlCUSmipAKx\n+gpoacR8/cXx359mMLVHYdkaaKxH/NUHkX95AjFzLmLBEvX7zGxsX/y/APRF4+xrCbJxVQGbD3Yg\nZlZCX0AZkwuWwNu7EBdfgahaDmYc89++BiUViIXLkL/+CWTnEuoBj4yNcEOac5JTtXDyGMH5K3GL\nOBWZbk50x8BhVz1NZhSrxpqtTarsdXbe8OcakL8gFixFHn4bue8tyMnHuOWjyN/9HJwu5CP/hVyx\nDvP3v4Lq14hc9W6ciXjksSJ7h4j17etVBorbg/njbyNu+zgirxDzB19D3P13yKP7MT77jxMQSaPR\naMaPmLcI+XY1aeke+hJFgcgvxEyW7E8YFvLgXpWXduokx5w5RJr7WJCfBkDUl8W9tW5mdVezqSed\nZemr+JviOHS0sSWziqvM/r5ibrvBP15VysYnj3CkPYTTkMoTXHccuz9K7IgqvCPf3qW+1rwFQK/L\nh89pqCbGhl1tLJ2GlDIxx2rDIkVk0cWIgjwVujGAgDsDQSvz8zzUd0eIzpyB41icVZ/7W5VofTrZ\nefjbOujasS9V+99Ydw3NL9ZRUVyEuGQh9h2vErPZETfcikhLR1xxvdo5u/97xHILCURMDqeXqBCl\nYwfV7h6o2N/cApUHEfRBTzeyp0aFQiWrQsGYOmeLlZdirFin/i8EZGQjnE5kWjr0HQFAhsMIl0sl\nlvd2Yay7BgDzv36AWHc1YuFSdVw0AscP8UbeReR47LT1xTCuvkmd+5aP9l+0sEzthtsdtPRE6Hsv\nAwAAIABJREFUSHfa6A7HcbpdYBh4V6yhb79TvceSCmQ8BqaJKCzFuO3j6lp2J9QexnzleYQnDbFs\nzVg+Xs0AZFcHxOMYt38SAgE1rorKoKJyyOOrGwLMz/OQn+4gGDOJxk3s5bMBEGuuRJ44DFk5iOxE\nGElxOaK4ArHmCuQTD0PuDELdArfQHovphmyog+5O+tra8IgyKrJcPLW/HdxpyLZmxKx5anPj2SfA\nNDGuebcKVbz8euTrWxHL16rQ0oN7oaMFCooBECXlmH/eoUIwTRPz8YfU9V7fCvE4csvTkKg29Z9i\nPrMO9XIziZyLZFWUkejtPnPnLJGnhcsN3Z3IHS8jbTbVaOq1LYiLVvSPYY1Go7GaxaswZs8n7Uik\n32ORX0T89a3q953tqgRtdycIA/nKc/z5r77Jc8/V8rm1hVw5M4PtnjIO9RqcaO/iC+vz+X7nXGqz\nw+Rk1LEzZwF3u6rPuOz8XA+7GgO4DFSbgd5ubGacWEujOqD+hPp6TOXP9TrSSHfaVK8xYcf83c8x\n7vxbFVmyewfMqlS5Hg5nypMyHBdUKFRomD4Wjb0R8tMdpDtteOyCpoJZuFxOhM8/ODEwSW4BvlNH\n6ekLc3DmCu57vZFH9rRyqC3Exbe/D1G5CNe73k8MQfzdd6ReJoTAuP59dK2+hiy3jU6Hlz/892Ps\nPNigHt5JisoSlVUyoacT8z/+L1KCSOZYCMGpnih/OtDOH2raeGRPKx3BoXeKk/WLAcRl10JBCSJN\nJW/L2qOYX/prZP0JZM3O/hwJKZG7Xsd88Iepyk/ypecwH/h/1HvzWVLopb1vmOstXIpY/y4AGnqj\nlGe6KPQ5cdkNxPJLyFiyhF6nl5gpleFz5Y2IRcsR8xf3n6SgCDHvIni7GjlCh2/NCHS2KV0zcxDF\nKizN+OAnESvXDXn40fYw83PdGEKQ4bbTGYoj0v0YX/8hYvlaxG13p8YRgLh0A2LJKoQ7DeP7P0fk\n5hOSNlxClxKedjSchMwc+vbtwWM3mJnl4nhHGJlboMIo09JVlbcDe1Qu1Et/QT75G+SLzyAf+xly\n9xuY3/488pf3IpsaCPjzONIeUgUeDu1TmwjXvgd2vwGZ2XBkP2LVZcg/PYq44noQgkbcPPF2O+G0\nDOSWTaqa3j61kyY721UFsmOHUo05zde2qrKxp4VCyYY6VRDC7YH8ItV/o7UJsfJS2LsTSnXelkaj\neecQhoHwZZDmMNjXHOQvhzvpzOr3WMiudlXVE1QOLIJWp5/bL8rlZ28286cD7TwRK+SDx5/lR2/8\ngAUHXuJdXXv5tvNivj3jRpbQgX/WmfPavDwPNc2qdxh5heD1YbcZxAy78kID5BeCNCE7TxkWLht2\nQ4AwiKdnIJ/8NRw9gPmzf0dWv66iE0ZJ3IYLzGMxnGHR1BtlRrqKaSvOcHG0PYTDNrzNJXLy8Ed3\n0rPqOrak59DWp8J9vnp5MT6XWvw7bvoguU8eoSkQpcTfX4FEzKykqy1IlqeRD27/Dbuy5/JoxTU8\nkFtKskCrqJgDdgfC4UQe2APBAKYQiMQ9zclxMyvLRX13BKfNYE9TgGyPnQ1zRu4/YNysjByzt0fF\n1h0/BE4X5m8eUDF9xw8hTVP1oXC6VGJ73TFkfiHyrVehp4sWdxar8zxsr+sZ8hqioAiR8Ag19EQo\n9Dn54OJcZmW5MTb+PQaQnfB4zCidCaUzz6hOJex2xF33jPheNCMjyucg7v7i4J9VVg17fHMgytJC\nLwBZbjvtwRh5XofKswDEuqsHHW9cuqH/vA4n0u0hJGI6x2KaIcNh6OpAXHoNobdP4PGnk+2xY0pJ\nV0klmUcPqAdJsoRrOKSSotddjdz+ggqX27pZVT+JRuBQDc+uvIOHNh/n/6yewVXuNERxOeLiK5DP\nPo5YcxXyiYcRN96K+MTfIYQgXvMWrdKFz2Vjd/5CVj32M/CkIR++D+OHD6niE5GwmqN6uzE++3Xk\nL34EvkzEez6s3kdnO7Q2QmM9W+N55PrLqfIbqvJfSQVy21/gjW2I0plnWXGNRnMhsrzIS1NvlM2H\nOmkvdPP+lkaMuApnEivWIffsUKHg/kzagiarStLJT3dwsDXI0gzJ2vod4PIgn3uS91YtZ9X1czjU\nFmJerhuRcWaVu8vL/XQEY8zb9abKhzQM7B4PcWEg5lchG+sRC5YgW5oQVcvojSmPBYDTbhB9/13Y\nvvk3qcqp8u1dqnJVXuGo7/WCMiwiwzRma+yNUpCuXO8lfifHOsI4bSMUYy0oxu/z0pCWRU1jgK9e\nXkxF1pmVT2b4nDT2DDYsALpCcTLddla272dlFjSVXk9NW4R16eoc4sbbQAiObt1G7p9/TTpgYqRC\noQp9Tv7Pmv4P9/c1bf2dwEfhrYYAP9xl498ikFd3DHHZdci/PKncXdEo8pX/VWEE+YWIwlIVSvD8\n06mk7xann9nZbsIxSThm4rIPb4Cd6okww+egKhEnmCTPa6elL8oM3xjCHTTvCM2BKAVeZVzneR00\n9UaZl+sZ+wncHkJGEI/QXdWnFU116m99zVUEizpJM1WDz4osN8ejc1gKKifLn9i0SPcrb9ja9aqi\nmMerPBAbblZhm3XH2Rt0sK7cxfb6Xq4qLldhcy4Xxj/fB7VHkX/8rSpRnfCAxUpm0SNtrCv0cqr4\ndkQWyJefUwmGT/4a3t6lXPl2B0TCyN88oBIXO9sQyVCo1ibM//4hhPp4ojbKYu8sqkpFvye4dCYy\nMa9pNBrNO83MLDefXj2DV2t7+MuRToQ/S4URt7cgKuYifRkYl12LvHQDrY8dIjfNwcwsN1fOzEAe\n7cI0Y4jL3oXcuxPbB+6mwucect2ZJN1l40NL8jCPRIFcpM2O3eUk6s1AzF+C3LpZ5cHVvAXF5QTq\nJT6nWs85bYKoKw1P1XLkC5vVCfe+CcIYk8fiwgqFig/nsYikPBbKsAiNaFgIXwaZ77uDQ20hwjGT\n8syha6IXpjto7D2z0VtnKEamR1mGYkYJi2d42d3UX2YxmaT9b+353D9jvSpBK8SZpRMTlGY4VTWr\nMfCfrzXgcRgcFhnIk8fVLnZGpkrSXLQc+csfIx/5b0R+ERSXqwf84pUYd98DxWW02H3kex1kpymv\nw0gcaQsxa4iBn5fmoCWgk3zPJZp6o+Qn/gZmZbk41hEa3wlcHkI2F55Fyyy4O41lZGZjvP9jiFnz\nCM9cgMeh5piKLBfHvQXqmLR0ZVik+2BulcphKKkATxpizRVAovJJ6UziNgf7O2NcPzeTk11hjGve\nrXIwSOR5lVRgfOLv+uu0A22X30S220ZphpP6iA3KZ8OR/TCzErl1M8adn1XduXt7MD71ZeSOl2DO\nQvXi5ENu9nwA2ovmcLwzTF3ebMTS1f3vc1Ylxt1f1M0bNRrNWWVenocDrUFcH/wECIF41wdgwWKM\nD/0NAMGYScyUpDsHrPcSGzti5TqMf/5P1StsjIilqxGrr8D44CfIL8ih8Yr3wkUrMD7zD7BoBcaH\nPoVYdw11FYtTG+xOm1Ab8UsvVuXp512kvMZVyxDeIUrQnsYF5bEYPsciytpS9YAq9js50h6myD/y\nbrrfZaO2K8Idi3MHxZ4PZIbPQWPPmQ3DOkNxMlwJ6QtLuKggjU0HO5CJNuwAJzrDRA0bx9KLeKjo\ndmQY7MOEZ5VmuMbksWgJRInEJdfO9HN0fxZr6veoUKTyOSo5/F23IS9aifzVf6g8h+JyZCiIWLEO\nsXQNfXuqMYUg3WmoBO5gdFid4qbkaEeYOdlnGha5XgetAd1I7VwhGjfpDsfJ9qgxOSvbrZJ3x3MO\nXzam0YHj3R+w4hY1FiH8WbAoC4Bg1MST8EDOzHRR3Zt4gKSlIwqKkHOrVP6C3aE2ORYuRSy/RJWk\nraxCuD0cK5xPtsfO/Nw0WgIxokvX4BwwbwmbDVZcMugeWrNLyfO3UuJ3sfVYN6J0FhIw3vsRda25\nC2HrZohGEJWLML70XRAC87tfSuVYCCEQF1/GW51u5mS7ORGyq1LiyevaHTDQ0NBoNJqzQLbHjtdp\no2nROrIHzkmJebE1ECPX6xi8rkx6jAd4esfKwPzd+QUd7G+zc53TBUsTRXEWrQBgf5fJuxapKAWn\nTRAxTUTVcuTs+Yilq5FH9mNcfwuyo3XUa15QHovwEIZFSyDKsfb+nfXKXA/BmEn7MMnQSSpzPXxv\nQxkfuGj4CiMz0p1Deiy6Bnos5lYxM8uFIeBgW/8u8QvHu7mkzM836p5ityOfLxT24EhLO+NcAPle\nB52hOMHoyGEob7cEmZ/nYXZeGseKFyGqliPS/VAxRxkS5XMQl25QuRX5RWpXElS/A6Alt4I8GUII\nQbHfyR/3d9AbHjqmvr47QpbHRrrrzB3C3DQ7raN4OzTvHM2BGLlpdmyGmrBmZ7s52h4aU+WxJD2m\nwOOwYYxSLUJz7hKMmQM8Fm6O98QwvvKvCLcHUTEX26f/AXHFDYibPgiA7VNfQcxfjPHJL6myr5WL\nePHSj7Cm1IfDJpjhc1DXNbontbUvRl6ag2J/wvNaNgtsdphZqYwKEjlDZYkqZbPnQ9ls1VDP379z\nJ268lS2FK3nvwmwCkTiBiM730Wg05x4rirw8e3DoBXprX5TctMHPUeF0qbl4DGFII7Egz8P+ljPL\nyHaHYrQHY6noG6fNIBKTiDQvtq/8K6KkAmaUIOZdhLHmqlGvM21XAdXV1fziF7/ANE3Wr1/Pe97z\nnlFfc6IzwjefP4mBai9hCEFjb4Tr52aRmditTXfaWFHkZeepkeup2wyRqjE8HIU+J2+3BPnBS6dI\nZigL4EBrkNsX52L89MmU9bl+Vgb/s7uVVcXpBGMm/3uki3+7voK8O/6aH1TMUeVCR7iX8kwXv97V\nwuKSGMFg8AyrVgDbTnSzMM/D7GwP96UV8vy6T8KRTmTxWshejDiSaMByy9+DLwuaJdz5XUSnAzo7\nOZFVRb5Qxs8nVhbwy+oW/vbpY6wuTU+UKRPYDYEQcLwjzNzsoWP087wOnjncybOHOzGlVK0sJEj6\nF7IiIViWx8YlZf4hz6MZno5gjJ2nepESBpoHp9sKQsCp7gj53v7QlCyPHbvN4D9eb8QmBBKpPp/T\nzpUkGDXZ3Rjg8gr9OU03OoMx3moIIATsbwlSlMh7Ks1w0tgb5S9yBuJwf2MmIWyAF44M+NmA873Q\nYeMHq9VivyzDxfNHuwZ5UwfOS1Kqv/gd9b0U+pxkum2YpmTzqTj2T/0I6sJA4rULbgAkDLgXNv4I\nTsVw27tZkOfhtZMhmoKSNaU+Ht/Xzh8PdAwa1wPvVQioyHSNGKOs0Wg0VnDLwhy+sPk4vX3h1FpU\noOalk11hctMcZ7xGJMI9J0NphovOUIyf7mjCEGo+FEBbMEZljju1uei0CV492cPxTjX/Snsp8pa/\n718jAh8pKhriCoppaViYpsmDDz7IN77xDbKzs/nqV7/KypUrKSkpGfF1X7+ymGi8fyFrSondECye\n4R103FcuL6Z5CkJ1SjOcfGb1DCJxtRxLLsyWFnpZVZw+6CF73dwsusNx6rrVB/n3lxWrmPd5i8Z0\nra9eXszva9p49UQn0ai69+QiMLmYdNoEa0p95HntrJ+Vwb7mgZZrGjL1vQ86YkAUjCxoTuZ/2Lh6\noYq7dtkNPrmygPUzM9jX0kdf1CQUk0TjapfQ77Kxtmxo63pujpu5OW4OtgbVH1RygCe+DrzvSPzM\nPzDN6ASi8dTnO9DGFAO+T45HKeHa0yqKfW5tIQ09EQSkPiNjGA+s3RB86uICMt3Tcjq5oOmNxKlu\nCGCiPt9kZTCnzeDWRTkcaE2Umx5gUZ5pXPb/5NaqnFSc7vpZGbxwvJsdpwKpQ5KbB5LkQ01gMwQX\nl6j58NZFORxuCyGEfZjOr6f9rCeI32WjyOfkcHuIjRcXYDcEN83PorohQEPPAI+JHPQFl93QhoVG\no3nHyfM6+Po1sznQ2JlYjybWpcC8XA/LCkfPY5gINkPw+UsKaeyJIpGpeT3TYx9UZGf9rAwOtAZp\nGbAOFkJAb9/ppxwSIccT73COcPDgQR577DG+9rWvAfDEE08AjOq1OHXqlOX3drbxDei8rbEGrbG1\naH2tRetrPVpja9H6WovW13qmu8ZFI3gspmWORXt7Ozk5Oanvs7OzaW8fX7KpRqPRaDQajUajmTrO\n29iFmpoaampqUt/fdtttI1pY5xM+3+QSfDSjozW2Fq2vtWh9rUdrbC1aX2vR+lrPdNf40UcfTf2/\nqqqKqirVhHdaeiyys7Npa2tLfd/W1kZ2dvagY6qqqrjttttS/y4UBn7QGmvQGluL1tdatL7WozW2\nFq2vtWh9red80HjgGjtpVMA0NSxmz55NY2Mjzc3NxGIxXnnlFVauXHm2b0uj0Wg0Go1Go7lgmZah\nUDabjbvuuovvfOc7qXKzo1WE0mg0Go1Go9FoNNYxLQ0LgGXLlrFs2bKzfRvnHAPdURpr0Bpbi9bX\nWrS+1qM1thatr7Vofa3nfNZ4Wpab1Wg0Go1Go9FoNOcW0zLHQqPRaDQajUaj0ZxbaMNCo9FoNBqN\nRqPRTBptWGg0Go1Go9FoNJpJow2LaUZ9fT2//e1vOXbsGACmaZ7lOzq/0Ppai9bXerTG1qL1tRat\nr/Voja3lQtd32laFuhDZt28fP/jBDygpKcE0TWbOnIlhGEgpEUKc7dub9mh9rUXraz1aY2vR+lqL\n1td6tMbWovUF27e+9a1vne2b0IwNl8vFggULWLJkCUeOHME0TYqKii6oAWslWl9r0fpaj9bYWrS+\n1qL1tR6tsbVofbVhcU6zb98+uru7yc7OBsDhcDBjxgzS0tJoa2vj8OHDVFZW4nK5ME3zghm0U4XW\n11q0vtajNbYWra+1aH2tR2tsLVrfM9GGxTlINBrlscce4/7776e7u5tFixbhcrlSA9LhcCCE4OTJ\nk3R1dTF79uwLYrBOFVpfa9H6Wo/W2Fq0vtai9bUerbG1aH2HRxsW5yB9fX2Ew2FuvfVW9u7di8vl\noqSkBCFEyuJNS0sjGAxSV1dHbm4utbW15OTkYBg6H380tL7WovW1Hq2xtWh9rUXraz1aY2vR+g6P\nNizOEV5//XVOnDhBfn4+Xq+X7OxscnNzkVLyyiuvMG/ePLxeL0IIpJQ4HA6ysrJ45plnePjhhzFN\nk5UrV573A3aiaH2tRetrPVpja9H6WovW13q0xtai9R0b2rA4y8RiMe6991527txJV1cXb775Jj6f\nj+LiYgDKysrYvn07gUCA8vJy7HY78XgcgO9+97v09fXxxS9+kRtuuOG8H6wTQetrLVpf69EaW4vW\n11q0vtajNbYWre/40IbFWaa1tZUdO3bwzW9+kzVr1tDR0UFNTQ35+fn4/X4AMjMz2bJlCytWrCAS\niRAIBPB6vZSXl3PbbbeRk5ODaZoXVNWBsaL1tRatr/Voja1F62stWl/r0Rpbi9Z3fGjD4iywd+9e\nPB4PLpcLr9fL7373O+bOnUt2djZer5empibq6uqoqqoCIC8vjxMnTvDYY4+xadMmioqKKCsrIysr\nC4B4PI7NZjvvB+tY0fpai9bXerTG1qL1tRatr/Voja1F6ztxtGHxDvL666/zk5/8hCNHjvDGG29g\nmiYVFRV0d3dTX1/PokWL8Pl8hEIh6urqKCoqwuv1curUKR566CHKysr43Oc+x8KFCwed90JwrY0F\nra+1aH2tR2tsLVpfa9H6Wo/W2Fq0vpNHGxbvEMePH+eZZ57h5ptv5tZbb8XpdPL4449z7bXXYpom\nhw4dwuVyUVBQAMBzzz3H5ZdfjsvloqWlhYsvvpibb76Z9PT0VHv4C8HyHStaX2vR+lqP1thatL7W\novW1Hq2xtWh9pwb72b6BC4Xs7Gze+973MmvWLKSUzJkzh9LSUkKhEGVlZTQ0NPCnP/2JqqoqioqK\nsNvt9Pb24vf7mTVrFgBSSqSUF5TlO1a0vtai9bUerbG1aH2twTRNDMPQ+r4DaI2tRes7NWjDwkIG\nJun4/X58Ph+gLNi2tjbq6upwuVy43W6uueYaDh06xA9/+EP279/P+vXrmTFjxqDzCSEuSOt3LGh9\nrUXrO/WcnsSnNZ56kote0PpONXV1dZSUlGh9LUavI6xF6zv1aMNiitm9ezd1dXUsW7aM/Px8bDZb\nauAmaxsLIWhsbGThwoWpAWgYBhs3bqS9vR3TNM8YrBpFdXU1jz/+OBs3bqSoqGjQ77S+k2f37t28\n+OKLrFu3joqKCrKyslKLM63v1LB//34qKysxDGPQwhf0GJ4Kjhw5wmOPPcbdd99Nbm7uII21vpNn\n165dPPLIIxQUFLBx40bcbnfqd1rfqaG6uprjx4+zevVqCgoKUk3X9Dw8NezatYuamhrWrFlDUVER\nbrdbr9OmEJ1jMUV0dnZy3333sX37dux2O6+88goej4fi4uIzrFchBG+99RZz587FMAx+8pOfUFpa\nSlZWFl6vNxWfdyGUJRsrXV1d3H///bz55pvceOONLFiwYFh9tL7jJxaL8atf/YoXXniBuXPncuDA\nAcLhMLNnz9bjd4oIBAI88MAD/OpXv6Kjo4OVK1fqMWwBL7/8Mlu3biUUCrF8+XLgzDhnre/4aW5u\n5r777mP//v0UFhbS09PDlVdeOaRGWt+J89hjj/HUU0+RnZ3N66+/Tk9PD3PmzBm04AWt8URob2/n\ngQce4I033iA3N5fXXnuN7OzslPE2EK3vxNEeiynixIkT+P1+vvCFLwDw6KOPUl9fz6pVq87YMQNV\neWDnzp1IKVm+fDllZWWDznchx+cNxYkTJzh27Bhf//rXycvLwzRNTNPEbldDeOBuA2h9x0tXVxcn\nT57kX/7lXwB4+OGHyc7OTv1+4G4ZaH0nQldXF+Xl5bzvfe/ja1/7GjfddBNFRUVDei1Aazxekjr6\nfD7uvvtunn32Waqrq1m6dCmxWCw1V2h9J8axY8eYOXMm73//+wH47Gc/y5EjR5g9e/YZC17Q+o4X\nKSXRaJSOjo7Uc2737t1s3bqVzMxM1qxZo59zk6ShoYGysjI+//nPA3Dvvfem5gXQ64ipQhsWk2Dn\nzp0UFBRQUlLCkiVLKCsrSw3MsrIytm3bBgwefFJKAoEADoeDmTNncuutt5Kenp76nbZ8+xmo7+LF\ni5k3bx6vvvoqdrudXbt2kZeXx/Lly1myZEkq5AzQ+o6Rgfrm5ORQX1/PH/7wB1wuF6+++iptbW10\ndHRwxRVX4HA4tL4ToKGhgcLCQgCKioq47LLLyMrK4uqrr+aBBx7gn/7pn87QTM8RY2egvkldamtr\nqaioYMOGDTz99NMsXboUm80GoMfwOBmo7+rVq1m9ejUAPT09LFmyhK6uLmCwR0iP3/FRXV1NQUEB\nhYWFOJ1OTp48ye7du7n66quprKyks7OTbdu2sXz5cpxOpx7D46S6upr8/HyKioqoqqpK9Z149tln\n2bdvHy6Xi1AoxOLFi7Hb7VrfKUDIpIqaMdPZ2cm9995LOBzG6/VSUlLC7bffjsPhSB3z6KOPYhhG\nanfndNrb21M7wqZp6oSfAZyub2FhIR/72Meoq6vj+9//PkVFRXzgAx+gurqa5uZmLrroItauXTvo\nD17rOzzD6dvY2MiePXvYtGkTn//852lra+O1116jrKyMv/qrv9L6joPDhw/zk5/8BL/fz0c+8pFU\nlZGBGm3cuJGPf/zjXHzxxUOeQ2s8PEPpm/RK/P73v2fdunXMmDGDL3/5y/T29vLhD3+YtWvXDjqH\n1nd4htL3dI2++93vsnr1atavX59q/jUQre/IHDhwgEceeSTleS8sLOTjH/84r7zyClu2bOHLX/4y\ndrud5uZmnnrqKZYtW8aKFSsGnUNrPDyn61tSUsKdd94JQCgU4he/+AXXXHMNhw8fpra2Vq8jphDt\nx5kAJ06cwOPx8J3vfIdPf/rTNDY28vLLLxMMBlPHdHZ2phJ7+vr6iEQiQP+OWXZ2NlLKM0JMNGfq\n29LSwpYtWygpKeGee+7hi1/8IhUVFdx44404nc5BuifR+g7PUPpu3bqV7OxshBDMmzeP8vJyli5d\nSmVlJb29valJNYnWd2QOHz7MvHnzWLZsGdu3bwf6E1tjsRgAt99+Ow899BAAwWAwNY71HDE6Q+mb\nDGmIRqO8/PLLPPDAA/T09GAYRsqoGLiPpvUdnqH0TXrek/X5V6xYwSuvvAJwhlEBWt+R6O7uZtu2\nbaxbt45vfetbfOpTn+LVV1+lvb2dpUuXkpWVxebNmwHIyMggEomc4XUDrfFwDKXvSy+9RFtbGwBu\nt5tPfepTzJkzh/Xr1+N0OgmHw2ecR+s7MbRhMQ6Sf9B+vx/TNOns7CQzM5NLL72UgwcPcvLkydSx\nwWCQkpISnnrqKe6//37a29uBwS5jIYSO0RvASPoeOnSIw4cPU1FRkVpAOJ1OWltb8fv9wNAJmlrf\nfkbS98CBAzQ0NFBeXk5zczOdnZ0YhkFNTQ2ZmZlD6qj1HZ4rr7ySO++8k/Lycrq6unjzzTcB9Rkk\nx++VV15Jeno6X/rSl/je975HU1MToOeIsTCcvqZpkpmZyXPPPYfP5+O+++5j9uzZKQNOzxFjY6Tx\nm9SrpKSE/Px8ent7hz2P1ndoPB4PV199NVdffTWmaZKbm8vixYtpbW1N/e7555/n+PHjuFwuent7\nUxsSegyPzlD6LlmyhJaWljOOdTqdtLe363XEFKJzLEZhqMTraDRKQUEBp06dIjMzk7Vr17Jv3z6O\nHz9OZWUldXV17N69m5MnT1JRUcGdd945KBFW08949D169Chz5swhEonw/PPPs23bNoqLi1m4cOHZ\nfAvnNGPVt6amhkOHDnHVVVdRVFTEj3/8Y7q6upg1axbr1q07m2/hnOf05GsAl8uFEILZs2dTX19P\ndXU1lZWVqUoihmHw9ttv09raSlVVFR/5yEfIyck5S+/g3Ga8+i5evJhLL700FRN9xx1kW0gKAAAH\n3ElEQVR3DCqJqhnMRMevlJI9e/YMCgHWDM3pGjscDsrLywHlCerr6+PIkSODvMbr16/nySef5NCh\nQ1RWVurn3AiMRd/Dhw9zxx13pI6PRCJs2bKFl156iZKSEhYsWHBW7v18RJebHYXkYmxgKEhWVhZ7\n9uyhr6+PnJwcvF4vkUiETZs2sWHDhtRO75133skNN9yAx+M5I5REoxiPvps3b+aaa65BSslzzz3H\nu9/9bm688cZUYrHW90zGqm80GmXTpk1ce+21LF++nJkzZ7Jq1So2bNiAy+XS+o7AUBonvyaTLWtr\na4nFYpSVlRGLxbDZbOzatYvrrruOm266ibS0ND1HDMNY9Y1Go5SVleF2u1NzrpSS9PR0XC6X1ncY\nxjt+o9EoNpuN/Px8Fi1apA3iMTCSxqZp0tzczNGjR7nuuutSr5k3bx5LlixhxYoVbNiwQT/nRmCs\n+l577bWA8ryFQiFeeOEFbr75Zm644Qat7xSiDYshSA7OZOjIH//4R2w2Gzk5OalFgcvl4sCBA7S3\ntzNv3jzcbjcnT55k8eLFpKWlceWVV5KTk6Pbuw/BRPWtra1l8eLFOJ1OVq1aRV5entZ3CCarr91u\nJyMjg8zMTK3vMIyk8cDfCSHIyspCSsnrr7/O5s2b6evrY968ecyaNUuP4WGYiL7bt29n8+bNhEKh\nVO3508PKNIrJjN9QKJTqq5CRkaEXY8MwFo1Bjcva2lri8Tjl5eX89Kc/JRQKUV5ejsPhwO/36zli\nCCajbzgcprKyUq8jLEKHQg3B6aEjJ0+eJBAIpB5WAPPnz0cIweOPP87BgwfZt28f73vf+wa53HXC\nz9Bofa1lqvRNnkPreyYjaTzwgZYco6+99hrV1dWsW7eOG264IXWe0+umaxST0fe6667Teo7CZPUd\nqu+KZjBj0ThJUt89e/Ywd+5cLrnkkkG/13PEmUyVvnodMfVojwUM6p4opeTEiRM8++yzZGVl4fP5\nMAyDjo4O5s+fn+qXIIQgNzeXZcuW4fP5eO9738uyZcsGnVcPVIXW11qs0lfTz3g1TiKEoLu7m5df\nfpkvfOELXH755RiGoUsXnoZV+moUWl/rmYjGSR13796Nx+Ph7rvv5pJLLtEaD4FV+mqNp54L3u8T\nj8cxDAPDMOjs7EwtuEKhEI888ghHjhwhHo/T2dmJ3W4f9McupcTr9bJ8+XIKCgpS3aA1/Wh9rUXr\naz0T0TiJaZr4/X6+8pWvUFhYmNJYu9z70fpai9bXeiaqcVLH97znPdxzzz3k5+drjYdA6zu9uCA9\nFpFIhKamppSVGwqFePjhh3niiSdobW3F5XKxYcMGgsEgW7ZsITc3l9dee421a9cOChUZaOkm4/O0\n9av1tRqtr/VYobF2ufej9bUWra/1TJXGQOp7rXE/Wt/pywVnsrW3t7Nx40YefPBBIpEIsViMX/zi\nF/j9fr7xjW/Q3t7Ob3/7W0zTZP369Vx55ZXs27ePSCRCIBAY9rx6oCq0vtai9bUeqzTWO2QKra+1\naH2tR2tsLVrf6c0F57HweDzs27ePvr4+TNOksrKSiooKKioquO+++zAMg2g0SkNDAxdddBFFRUUs\nWLCAF154gWXLlqU6MeqF2NBofa1F62s9WmNr0fpai9bXerTG1qL1nd6c94ZFa2srjz76KG63m9zc\nXHp6eqirq2PRokXs2rWL2bNnU1BQwJ///Gf8fj933303kUiEp59+mjVr1uD1enG5XJw6dQqPx0Np\naakerAPQ+lqL1td6tMbWovW1Fq2v9WiNrUXre35x3vuF9u/fz+bNm3nkkUc4ceIEPp8P0zTp6Ohg\nyZIlbN68GYD6+nqKi4uJxWJ0dnZSUVFBbW0tAHv37mXHjh0UFxefzbdyTqL1tRatr/Voja1F62st\nWl/r0Rpbi9b3/OK891iUlZVx5MgRurq6yMrKYu/evVx66aUcOnSIiy66iJ07d1JRUYHP5+Ott97i\nwQcfpLi4mI0bN1JaWgqA3W7nhhtuIC8v7yy/m3MPra+1aH2tR2tsLVpfa9H6Wo/W2Fq0vucX571h\nAVBUVMSmTZv46Ec/yrPPPktNTQ1+v58rrriCnp4etm3bxq233kpVVRWrV6/msssuw2azpUqceTwe\nnE7n2X4b5yxaX2vR+lqP1thatL7WovW1Hq2xtWh9zx8uCMMiKyuLw4cP09TUxF133cXBgwdpb29n\n7dq1pKenU1tbS0lJCZmZmWRkZKQasQxsFKQZHq2vtWh9rUdrbC1aX2vR+lqP1thatL7nEfICoaen\nR370ox+VdXV1UkopGxoapJRSxmKxs3lb5w1aX2vR+lqP1thatL7WovW1Hq2xtWh9zw8uCI8FgNPp\nJBqN8rvf/Y7rrruO9PR0oL+u8cCOxJrxo/W1Fq2v9WiNrUXray1aX+vRGluL1vf84LyvCjWQ2267\njezsbLq7u1Mt35PoximTR+trLVpf69EaW4vW11q0vtajNbYWre/0R0gp5dm+CY1Go9FoNBqNRjO9\nuSDNv9OtYM3UovW1Fq2v9WiNrUXray1aX+vRGluL1nf6oj0WGo1Go9FoNBqNZtJckB4LjUaj0Wg0\nGo1GM7Vow0Kj0Wg0Go1Go9FMGm1YaDQajUaj0Wg0mkmjDQuNRqPRaDQajUYzabRhodFoNBqNRqPR\naCaNNiw0Go1Go9FoNBrNpPn/V0Paulh4y74AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ca1f250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_elec.mains().plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Checking load_kwargs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "m = train_elec['fridge']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_raw = m.load().next()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>physical_quantity</th>\n",
       "      <th>power</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>type</th>\n",
       "      <th>active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:13-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:16-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:20-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:23-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:26-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:30-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:33-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:37-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:40-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-18 09:22:44-04:00</th>\n",
       "      <td> 6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "physical_quantity          power\n",
       "type                      active\n",
       "2011-04-18 09:22:13-04:00      6\n",
       "2011-04-18 09:22:16-04:00      6\n",
       "2011-04-18 09:22:20-04:00      6\n",
       "2011-04-18 09:22:23-04:00      6\n",
       "2011-04-18 09:22:26-04:00      6\n",
       "2011-04-18 09:22:30-04:00      6\n",
       "2011-04-18 09:22:33-04:00      6\n",
       "2011-04-18 09:22:37-04:00      6\n",
       "2011-04-18 09:22:40-04:00      6\n",
       "2011-04-18 09:22:44-04:00      6"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_raw.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_1_min = m.power_series(sample_period=60).next()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2011-04-18 09:22:00-04:00    6.0000\n",
       "2011-04-18 09:23:00-04:00    6.0000\n",
       "2011-04-18 09:24:00-04:00    6.0000\n",
       "2011-04-18 09:25:00-04:00    5.9375\n",
       "2011-04-18 09:26:00-04:00    5.9375\n",
       "Freq: 60S, Name: (power, active), dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_1_min.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Selecting top-5 appliances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15/16 MeterGroup(meters=\n",
      "  ElecMeter(instance=3, building=1, dataset='REDD', appliances=[Appliance(type='electric oven', instance=1)])\n",
      "  ElecMeter(instance=4, building=1, dataset='REDD', appliances=[Appliance(type='electric oven', instance=1)])\n",
      "16/16 MeterGroup(meters=\n",
      "  ElecMeter(instance=10, building=1, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])\n",
      "  ElecMeter(instance=20, building=1, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])\n",
      "Calculating total_energy for ElecMeterID(instance=20, building=1, dataset='REDD') ...   "
     ]
    }
   ],
   "source": [
    "top_5_train_elec = train_elec.submeters().select_top_k(k=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MeterGroup(meters=\n",
       "  ElecMeter(instance=5, building=1, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])\n",
       "  ElecMeter(instance=11, building=1, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])\n",
       "  ElecMeter(instance=8, building=1, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])\n",
       "  ElecMeter(instance=9, building=1, dataset='REDD', appliances=[Appliance(type='light', instance=1)])\n",
       "  ElecMeter(instance=6, building=1, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])\n",
       ")"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_5_train_elec"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training and disaggregation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### FHMM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us first train on raw data, no downsampling and see how much time it takes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'start=time.time()\\nfhmm = fhmm_exact.FHMM()\\nfhmm.train(top_5_train_elec)\\nend=time.time()\\nprint end-start\\n'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"start=time.time()\n",
    "fhmm = fhmm_exact.FHMM()\n",
    "fhmm.train(top_5_train_elec)\n",
    "end=time.time()\n",
    "print end-start\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training model for submeter 'ElecMeter(instance=5, building=1, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=11, building=1, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=8, building=1, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])'\n",
      "Training model for submeter 'ElecMeter(instance=9, building=1, dataset='REDD', appliances=[Appliance(type='light', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=6, building=1, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])'\n",
      "13.5836830139\n"
     ]
    }
   ],
   "source": [
    "start=time.time()\n",
    "fhmm = fhmm_exact.FHMM()\n",
    "fhmm.train(top_5_train_elec, sample_period=60)\n",
    "end=time.time()\n",
    "print end-start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading data for meter ElecMeterID(instance=2, building=1, dataset='REDD')     \n",
      "Done loading data all meters for this chunk.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exception tables.exceptions.HDF5ExtError: HDF5ExtError('Problems closing the Group None',) in Exception tables.exceptions.HDF5ExtError: HDF5ExtError('Problems closing the Group None',) in Exception tables.exceptions.HDF5ExtError: HDF5ExtError('Problems closing the Group None',) in Exception tables.exceptions.HDF5ExtError: HDF5ExtError('Problems closing the Group None',) in Exception tables.exceptions.HDF5ExtError: HDF5ExtError('Problems closing the Group None',) in Exception tables.exceptions.HDF5ExtError: HDF5ExtError('Problems closing the Group None',) in "
     ]
    }
   ],
   "source": [
    "disag_filename = join(data_dir, 'redd-disag-fhmm-new.h5')\n",
    "output = HDFDataStore(disag_filename, 'w')\n",
    "fhmm.disaggregate(test_elec.mains(), output, sample_period=60)\n",
    "output.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "disag_filename = join(data_dir, 'redd-disag-fhmm-new.h5')\n",
    "disag = DataSet(disag_filename)\n",
    "disag_elec = disag.buildings[building_number].elec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10cbaebd0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxYAAAFyCAYAAABoREzCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ncyYTCyGEEEIIIcSc/R8WStn668GX/QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b5ffe10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "disag_elec.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0IAAAGRCAYAAABIawPcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3X1clHW+//H3NSAgMoKAIARlCiZgZmHqoqlHa0+b9Th1\nzqadajPNakntZsu7zNKzljdlN49Ks9K03epkZ8u2rSzPolnqHlNjS8QbwhsUUVEJ8A5nuH5/9HN2\nSc2RYbjA7+v5ePB4MNdc11zvGT4h765rrrFs27YFAAAAAAZxOR0AAAAAABobRQgAAACAcShCAAAA\nAIxDEQIAAABgHIoQAAAAAONQhAAAAAAYhyIEAAAAwDgUIQDAeePOO++Uy+U65evdd9/V5MmTlZ6e\nftrt2rdvryeffNJ3u3///nK5XHr44YdPWfeFF16Qy+Wq81gLFiyQy+VSUlKSPB5PnfX379+v8PBw\nuVwurVy5soGeKQAgUBQhAMB5pW/fviorK6vzdeONN/7sNpZlybKsOrcvvPBC/eEPf9CJEyfqrPvq\nq6/qoosuqrO+JIWEhKhFixb66KOP6ix/4403lJycfMo+AADOoggBAM4rYWFhSkhIqPMVHh5+zo8z\ncOBARUVF6YMPPvAt++qrr7Rr1y7dfPPNsm37lG2GDx+u1157zXfbtm3NmzdPd91112nXBwA4hyIE\nADivNFThcLlcuuuuu+oUm1dffVW33XabWrVqddpt7rrrLv3v//6vSkpKJEnLli1TeXm5fv3rXzdI\nJgBAw6EIAQDOK8uXL5fb7fZ9ZWRk+O4rLi6uc9/Jr507d57yOJZlafjw4VqxYoW2b9+uQ4cO6U9/\n+pPuueeeM5at1NRUXXPNNZo3b56kH4vTb37zG7Vs2TI4TxYAUG+hTgcAAKAh9erVSwsXLvTdDg39\nxz91qampysvLq7O+bdvq37//aR8rKSlJ1113nV577TUlJiYqMzNT3bp10+LFi8+4/3vuuUejR49W\nbm6uFi9erHXr1nFaHAA0QRQhAMB5JSIiQh06dDjtfS1atDjtff9cln7qnnvu0fDhwxUXF6cHHnjg\nrPsfNGiQRo4cqdtuu03Z2dnKysrS9u3b/c4PAGgcnBoHADivNPSV2a699lqFh4dr586duvXWW8+6\nfmhoqIYPH65ly5bp7rvvbtAsAICGwxEhAMB5pT6nof10G9u2fcssy9KGDRtk2/YZL5LwU48//rge\nfPBBxcTEnHMWAEDjoAgBAM4bP/dZPWe77+fWjYqKOutj/fPt0NBQxcbG/uw+AADOsmzewQkAAADA\nMLxHyEEFBQVOR0AzxwwhUMwQAsUMIVDMEAJV3xmiCDmI//ARKGYIgWKGEChmCIFihhAoihAAAAAA\n+IkiBAAAAMA4XCwBAAAAgHG4fLbDSktLnY6AZsztdquqqsrpGGjGmCEEihlCoJghBCo5Oble23Fq\nHAAAAADjUIQAAAAAGIciBAAAAMA4FCEAAAAAxqEIAQAAADAORQgAAACAcShCAAAAAIxDEQIAAABg\nHIoQAAAAAONQhAAAAAAYhyIEAAAAwDgUIQAAAADGoQgBAAAAMA5FCAAAAIBxKEIAAAAAjBPqdADT\nhXxf6HSEU1jxifJExzodAwAAAAgaipDDaqaPczrCKcLGz5AoQgAAADiPcWocAAAAAONQhAAAAAAY\nhyIEAAAAwDgUIQAAAADGoQgBAAAAMA5FCAAAAIBxKEIAAAAAjEMRAgAAAGAcihAAAAAA41CEAAAA\nABinSRWhIUOG6MUXX/Td9nq9uuuuuzR9+nRJ0tq1a7V48WKn4gEAAAA4T4Q6HeCfhYeHa9euXaqp\nqVFYWJi+/fZbxcXFybIsSVL37t3VvXt3vx7Ltm1J8m0LAAAAACc1qSIkSZdffrnWr1+vXr16aeXK\nlerdu7cKCwslScuXL1dxcbGGDx+uiooKvfbaa9q3b58k6e6771ZMTIyefPJJpaena9u2bZowYYI+\n/fRT5efny7Is/fu//7tycnL0+uuvq1u3burevbuefvppRUVFKTc3V3l5edq3b59uueUWPf300zpw\n4IBOnDihX/3qV7r66qv1+eefa9++fbr99ttPybNixQotWbJEHo9HaWlpGjFihFyuJnXADQAAAMD/\n1+T+Us/JydGqVat04sQJ7dy5U+np6add74033lBWVpaefvppzZgxQykpKZKksrIyXXvttZo1a5aK\nioq0Y8cOPfPMM5o0aZL++Mc/qqKiQpmZmdq0aZMk6eDBg9q9e7ckadOmTcrMzJQk5ebmavr06Zo2\nbZo+/fRTVVdXq1evXlqzZo0vw+rVq9W7d2/t2rVLq1ev1tSpUzVz5ky5XC599dVXwXyZAAAAAASg\nyR0RuvDCC7V//36tXLlSV1xxxRnXKygo0OjRoyVJLpdLkZGRqq6uVtu2bZWWliZJ2rx5s/r06SPL\nshQdHa3MzEwVFRWpc+fO+vjjj7Vr1y6lpqbq8OHDqqio0NatWzV8+HBJ0ieffKKvv/5aknTgwAGV\nlZUpLS1NiYmJ2rp1q9q1a6fdu3frkksu0ZIlS1RcXKzx48dLkmpqahQTE3PazAUFBb7bgwcPbpgX\nrYGFhIQq0u12Ogb8EBYWJjc/KwSAGUKgmCEEihlCQ1i0aJHv+6ysLGVlZZ11myZXhCQpOztbf/jD\nHzR58mRVVlae07bh4eF1bp98r9DJ7y3LUmxsrI4cOaL8/HxlZGSourpaq1atUkREhCIiIlRQUKAN\nGzboySefVFhYmKZMmaKamhpJPx6xWr16tZKTk9WjRw/fY/fr10+33nrrz2bz94fiNK/Xo6qqKqdj\nwA9ut5ufFQLCDCFQzBACxQwhUG63u14HGJrcqXGSNGDAAN18881KTU094zpdunTR559/Lkmqra3V\nkSNHTlknIyNDq1atUm1trSorK7Vp0ybf0aL09HR98sknyszMVEZGhj766CNlZGRIko4ePapWrVop\nLCxMu3fv1pYtW3yP2aNHD3399de+9y+dzPJ///d/vtJWXV2t8vLyhnkxAAAAADS4JnVE6OQV3mJj\nY3Xttdf6lp3uym/Dhg3T3LlzlZeXJ5fLpbvvvlvR0dF11u3Ro4e2bNmiMWPGyLIs3X777YqOjpYk\nde7cWd9++60SExMVFxen6upqde7cWZLUrVs3LV26VA899JCSk5PVqVMn32O2atVKF1xwgXbv3q2O\nHTtKklJSUjRkyBBNnTpVtm0rJCREI0aMUHx8fHBeKAAAAAABsex/PncMja5kkH+XA29MYeNnyNsx\nw+kY8AOnEyBQzBACxQwhUMwQApWcnFyv7ZrkqXEAAAAAEEwUIQAAAADGoQgBAAAAMA5FCAAAAIBx\nKEIAAAAAjEMRAgAAAGAcihAAAAAA41CEAAAAABiHIgQAAADAOBQhAAAAAMahCAEAAAAwDkUIAAAA\ngHFCnQ5gurDxM5yOcAorPtHpCAAAAEBQUYQc5u2Y4XQEAAAAwDicGgcAAADAOBQhAAAAAMahCAEA\nAAAwDkUIAAAAgHEoQgAAAACMQxECAAAAYByKEAAAAADjUIQAAAAAGIciBAAAAMA4FCEAAAAAxqEI\nAQAAADAORQgAAACAcShCAAAAAIxDEQIAAABgHIoQAAAAAONQhAAAAAAYhyIEAAAAwDgUIQAAAADG\noQgBAAAAMA5FCAAAAIBxKEIAAAAAjEMRAgAAAGAcihAAAAAA41CEAAAAABiHIgQAAADAOBQhAAAA\nAMahCAEAAAAwDkUIAAAAgHEoQgAAAACMQxECAAAAYByKEAAAAADjUIQAAAAAGCfU6QCmC/m+0OkI\naMaOh4QqxOtxOgaaMWYIgWKGGoYVnyhPdKzTMQCjUIQcVjN9nNMRAACAw8LGz5AoQkCj4tQ4AAAA\nAMahCAEAAAAwDkUIAAAAgHEoQgAAAACMQxECAAAAYByKEAAAAADjUIQAAAAAGIciBAAAAMA4FCEA\nAAAAxqEIAQAAADCO0UXoN7/5zSnLli5dqhUrVvzsdsuXL9f8+fNPe9/777/fINkAAAAABI/RRciy\nrFOWXXPNNerbt2+9H3Px4sWBRAIAAADQCEKdDtDULFq0SC1bttQNN9ygoqIivfLKK3K5XLr00kuV\nn5+vWbNmSZIOHjyop556Snv37tWVV16p22+/XW+99ZZqamo0duxYpaamavTo0Q4/GwAAAACnQxH6\nCcuyfEeK5syZo9/+9rdKT0/X22+/XecI0o4dOzRz5kyFhobqwQcf1HXXXafbbrtNn332mWbOnOlU\nfAAAAAB+oAidwZEjR3Ts2DGlp6dLkvr06aN169b57u/SpYtatmwpSUpJSdH+/fsVGxv7s49ZUFCg\ngoIC3+3BgwcHITkAAGhuQkJCFel2Ox3DEWFhYXIb+tzRcBYtWuT7PisrS1lZWWfdhiLkJ9u269xu\n0aKF73vLsuT1es/6GP7+UAAAgFm8Xo+qqqqcjuEIt9tt7HNHw3C73fU6wGD0xRLOxLZtRUZGKiIi\nQkVFRZKklStX+rVtSEiIX6UIAAAAgHOMPiJ0/Phx5ebm+m4PGjRI0j+uJpebm6u5c+fKsixlZmYq\nMjLyrI959dVX65FHHlGHDh24WAIAAADQRFn2T8/5gs+xY8cUEREh6cfLYldUVOjOO+9s0H2UDOre\noI8HAACan7DxM+TtmOF0DEdwahwClZycXK/tjD4idDbr16/X4sWL5fV61bZtW40cOdLpSAAAAAAa\nAEXoZ+Tk5CgnJ8fpGAAAAAAaGBdLAAAAAGAcihAAAAAA41CEAAAAABiHIgQAAADAOBQhAAAAAMah\nCAEAAAAwDkUIAAAAgHEoQgAAAACMQxECAAAAYByKEAAAAADjhDodwHRh42c4HQHNWEhIqLxej9Mx\n0IwxQwgUM9QwrPhEpyMAxqEIOczbMcPpCGjGIt1uVVVVOR0DzRgzhEAxQwCaK06NAwAAAGAcihAA\nAAAA41CEAAAAABiHIgQAAADAOBQhAAAAAMahCAEAAAAwDkUIAAAAgHEoQgAAAACMQxECAAAAYByK\nEAAAAADjUIQAAAAAGIciBAAAAMA4FCEAAAAAxqEIAQAAADAORQgAAACAcShCAAAAAIxDEQIAAABg\nHIoQAAAAAONQhAAAAAAYhyIEAAAAwDgUIQAAAADGCfVnpdraWuXl5WnlypWqrKzUrFmztHHjRlVU\nVCgnJyfYGQEAAACgQfl1RGjRokXKy8vTwIEDVV5eLkmKjY3Vhx9+GNRwAAAAABAMfhWh5cuXa/z4\n8erTp49crh83SUhI0N69e4MaDgAAAACCwa8iZNu2IiIi6iw7fvy4WrZsGZRQAAAAABBMfhWhbt26\naeHChaqpqZH043uG3n33XWVnZwc1HAAAAAAEg19FaOjQoaqoqNCwYcN05MgR3XHHHdq3b59uvfXW\nYOcDAAAAgAbn11XjIiMjNWbMGFVUVKi8vFxxcXFq06ZNsLMBAAAAQFD4VYTy8/OVkJCg5ORkxcTE\nSJJKS0tVXl6url27BjUgAAAAADQ0v06Nmzdv3ikXS4iIiNDrr78elFAAAAAAEEx+FaHKykrFxsbW\nWRYTE6MffvghKKEAAAAAIJj8KkIJCQn67rvv6izbuHGjEhISghIKAAAAAILJr/cIDR48WLNmzdKA\nAQOUmJiosrIyLV++XLm5ucHOd94L+b7Q6Qhoxo6HhCrE63E6BpoxZgiBYoYQKGYIAUtOrtdmlm3b\ntj8rFhUVKS8vTwcOHFBcXJwGDBigtLS0eu0U/1AyqLvTEQAAAIBmK/XjtfXazq8jQpKUlpZG8QEA\nAABwXvCrCJ04cULLly/X9u3bdfz4cUmSbduyLEujRo0KakAAAAAAaGh+FaGXX35ZO3bsUHZ2tqKj\no33LLcsKWjAAAAAACBa/P1D1pZdeUlRUVLDzAAAAAEDQ+XX57LZt28rj4WoeAAAAAM4Pfh0R6tu3\nr55++mn96le/UkxMTJ37unTpEpRgAAAAABAsfhWhJUuWSJLeeeedU+57+eWXGzYRAAAAAASZ358j\nhODgc4QAAACA+qvv5wj59R4hAAAAADif+HVq3JEjR7Ro0SIVFhaqqqpK/3wQac6cOUELBwAAAADB\n4NcRoddff13btm3Tf/zHf6i6ulrDhg1TfHy8Bg0aFOx8fnv//ff18MMPa8yYMRo7dqyKiorOafvl\ny5dr/vz5fq//8ccfq6am5lxjAgAAAGgC/Doi9Pe//13PPfecWrduLcuy1KNHD6WlpWnGjBm6/vrr\ng53xrLZs2aL169drxowZCg0NVXV1tU6cOBHUfX7yySfq27evwsLCgrofAAAAAA3PryIkSZGRkZKk\nli1b6vDhw4qJidGePXuCFuxcVFRUyO12KzT0x6dz8oNfv/vuO/3xj3+U1+tVx44ddffddys0NFRF\nRUVauHChjh07prCwME2aNKnO461fv17vv/++xo0bp+LiYr333ns6ceKEEhMTdd999ykvL0+HDh3S\nlClT1Lp1az322GOaM2eOiouLZVmW/uVf/qVJHS0DAAAAUJdfRejCCy9UYWGhLr30UnXu3Fnz5s1T\neHi4kpOTg53PL127dtX//M//6IEHHtCll16qnJwcpaWlafbs2XriiSfUrl07vfTSS/r888/1y1/+\nUi+88IIeeughdejQwVeGTlqzZo0+/vhjPfroo/J4PHr//ff1+OOPKywsTIsXL9Zf/vIX/frXv9bH\nH3+syZMnKyoqSsXFxTp06JBmzZol6cf3VAEAAABouvwqQvfee6/v+zvvvFPvvPOOjhw5olGjRgUt\n2LmIiIjQ9OnTtWnTJm3YsEHPP/+8brzxRiUkJKhdu3aSpP79+2vJkiXq0qWLYmJi1KFDB9+2J23Y\nsEHff/+9Jk2apIiICK1bt067du3SY489JknyeDzq1KnTKftPTEzU3r17NX/+fF1xxRW67LLLTpuz\noKBABQUFvtuDBw9usNcAAAAAMNWiRYt832dlZSkrK+us2/hVhE6WCUmKiYlRbm5uPeIFl8vlUmZm\npjIzM3XhhRfqs88+q3O/Px+XlJiYqH379qm0tNRXlLp27aoHHnjgZ7dr1aqVnnnmGeXn52vp0qVa\nvXr1aV8jf38oAAAAAPxXnwMMZ7xq3IoVK3zf5+XlnfGrKSgtLa3zfqXt27crMTFR5eXlKisrk/Tj\n88nKylJycrIqKir0/fffS5KOHj2q2tpaSVLbtm318MMP66WXXtKuXbuUnp6uzZs3+x7j2LFjvv20\nbNnSdwpcVVWVvF6vevbsqSFDhmjbtm2N9twBAAAAnLszHhFauXKl+vbtK+nHEmFZ1mnXGzBgQHCS\nnYNjx47pjTfe0OHDhxUSEqJ27drp3nvv1fbt2/Xcc8/J6/UqLS1N11xzjUJDQ/Xggw9q/vz5qqmp\nUXh4uO/UN0lKTk7W/fffr2effVbjx4/XfffdpxdeeEEej0eSdMsttygpKUlXX321nnrqKcXGxmro\n0KGaPXu276jTrbfe6sjrAAAAAMA/lu3POWMImpJB3Z2OAAAAADRbqR+vrdd2ZzwidPJ0sbNxufz6\nTFYAAAAAaDLOWIT+8z//068HePfddxssDAAAAAA0hjMWoRdffLExcwAAAABAozljEUpISDhlmW3b\nqqqqktvtPuPFEwAAAACgqfPrc4Sqq6v1xhtvaPXq1fJ6vQoJCVGvXr00fPhwRUVFBTsjAAAAADQo\nv650MHv2bNXU1GjmzJlauHChZs6cKY/Ho9mzZwc7HwAAAAA0OL+KUEFBgUaNGqWUlBRFREQoJSVF\nI0eOVEFBQbDzAQAAAECD86sIXXDBBdq/f3+dZfv379cFF1wQlFAAAAAAEEx+vUeoS5cumjp1qvr2\n7av4+HiVl5fryy+/1FVXXaW8vDzfegMGDAhaUAAAAABoKH4VoS1btqhdu3baunWrtm7dKklKTEys\nc1uiCAEAAABoHizbtm2nQ5isZFB3pyMAAAAAzVbqx2vrtZ1fR4Qk6fDhw1q3bp0qKirUpk0bXX75\n5Vw6GwAAAECz5NcRoQ0bNuiZZ55RcnKy7z1Cu3fv1sMPP6yuXbs2Rs7z1t4v/+p0BDRjISGh8no9\nTsdAM8YMIVDMEALFDCFQiVcNrNd2fh0Rmjdvnu655x7l5OT4lq1evVrz58/X888/X68d40fejhlO\nR0AzFul2q6qqyukYaMaYIQSKGUKgmCE4xa/LZx86dEi9evWqs+zKK69URUVFUEIBAAAAQDD5VYT6\n9u2rJUuW1Fn2+eefq2/fvkEJBQAAAADB5Nepcdu2bdPSpUv14YcfKjY2VgcPHlRlZaXS0tL0+OOP\nS5Isy9KUKVOCGhYAAAAAGoJfRWjgwIEaOLB+b0ICAAAAgKbGryLUv39/VVRUqKioSJWVlXXu40NU\nAQAAADQ3fhWhNWvW6MUXX1RSUpJKSkqUmpqqkpISde7cmSIEAAAAoNnxqwj993//t3Jzc5WTk6Nh\nw4Zp5syZWrZsmUpKSoKdDwAAAAAanF9XjTtw4ECdzxCybVv9+vXTF198EbRgAAAAABAsfhWh1q1b\n+z4zqG3bttqyZYvKyspk23ZQwwEAAABAMPh91bhNmzapV69eGjRokP7rv/5LknTDDTcENRwAAAAA\nBINl1+Owzv79+3X8+HGlpKQEI5NRSktLnY6AZsztdquqqsrpGGjGmCEEihlCoJghBCo5Oble2/l1\nROin2rZtW6+dAQAAAEBT4Nd7hAAAAADgfEIRAgAAAGAcihAAAAAA41CEAAAAABiHIgQAAADAOBQh\nAAAAAMahCAEAAAAwDkUIAAAAgHEoQgAAAACMQxECAAAAYByKEAAAAADjUIQAAAAAGIciBAAAAMA4\nFCEAAAAAxqEIAQAAADAORQgAAACAcShCAAAAAIxDEQIAAABgHIoQAAAAAONQhAAAAAAYJ9TpAKYL\n+b7Q6QjGsOIT5YmOdToGAAAAmgCKkMNqpo9zOoIxwsbPkChCAAAAEKfGAQAAADAQRQgAAACAcShC\nAAAAAIxDEQIAAABgHIoQAAAAAONQhAAAAAAYhyIEAAAAwDgUIQAAAADGoQgBAAAAMA5FCAAAAIBx\nQhtrR0OGDNFFF10kr9crl8ulfv36adCgQbIsS8XFxfriiy80bNiw025bUFCgjz76SOPHj2+suI7s\nEwAAAEDjaLQiFB4erpkzZ0qSKisr9cILL+jIkSMaPHiwOnTooA4dOjRWlEZRW1srl4sDbgAAAEBT\n1GhF6J+1bt1a9957ryZMmKDBgwfXOfqyceNGLViwQJJkWZamTJkiSTp+/LieffZZlZSU6OKLL9b9\n999f5zF/+OEHTZs2TdOnT9f27ds1btw4zZ49W3FxcRo9erRmzZqlb7/9Vh988IE8Ho+ioqJ0//33\nKzo6+pz3WVxcrDfffFPHjh2T2+3WyJEjFRMTo8mTJ6t9+/bavHmzevfureuvv75xXlAAAAAA58SR\nIiRJCQkJqq2tVWVlZZ3lH330kUaMGKFOnTrp+PHjatGihSRp27ZtevbZZ9WmTRtNmjRJmzZtUufO\nnX3bRUdH68SJEzp69Kg2bdqkjh07qrCwUJdccomio6MVFhamjIwMde/eXZL017/+VR9++KHuuOOO\nc9pnWlqa5s+fr3HjxsntdmvVqlV65513lJubK8uy5PV6NW3atEZ6FQEAAADUh2NF6EwuueQSLVy4\nUH369FHPnj0VGxsrSUpLS/N93759e+3fv79OEZKkTp06afPmzSosLNSNN96o/Px82bbtW+/AgQN6\n7rnnVFFRIY/Ho8TExHPeZ2RkpEpKSvT73/9e0o+nwLVp08aXIScn54zPraCgQAUFBb7bgwcPDui1\nwrkJCQlVpNvtdIwGFRYWJvd59pzQuJghBIoZQqCYITSERYsW+b7PyspSVlbWWbdxrAjt3btXLpdL\nrVu3rrP8xhtvVHZ2ttavX69JkyZp4sSJkqTQ0H9Edblc8nq9pzxmRkaGNm7cqPLycl155ZX68MMP\nZVmWsrOzJUnz58/XDTfcoOzsbG3cuFHvvfdevfaZmpqqqVOnnvZ5hYeHn/E5+/tDQXB4vR5VVVU5\nHaNBud3u8+45oXExQwgUM4RAMUMIlNvtrtcBBkfezV9ZWanXXntN11577Sn3lZWVKTU1Vf/2b/+m\njh07qrS0VJZl+fW4GRkZ+vLLL5WUlCTLshQVFaVvvvnGd0To6NGjvqM3y5cvP+d9Wpal5ORkVVZW\nasuWLZIkj8ejXbt2netLAAAAAMBBjXZEqKamRmPHjq1z+eyTFxOwLMtXPD755BMVFBTI5XIpNTVV\n3bp105YtW04pJqcrKm3btpX0YyGSpM6dO+vgwYOKjIyUJN1888167rnn1KpVK3Xp0kX79+8/p31K\nPx4l+t3vfqc33nhDR44cUW1trQYNGqSUlJQGeqUAAAAABJtl27btdAiTlQzq7nQEY4SNnyFvxwyn\nYzQoTidAoJghBIoZQqCYIQQqOTm5XtvxQTcAAAAAjEMRAgAAAGAcihAAAAAA41CEAAAAABiHIgQA\nAADAOBQhAAAAAMahCAEAAAAwDkUIAAAAgHEoQgAAAACMQxECAAAAYByKEAAAAADjUIQAAAAAGCfU\n6QCmCxs/w+kIxrDiE52OAAAAgCaCIuQwb8cMpyMAAAAAxuHUOAAAAADGoQgBAAAAMA5FCAAAAIBx\nKEIAAAAAjEMRAgAAAGAcihAAAAAA41CEAAAAABiHIgQAAADAOBQhAAAAAMahCAEAAAAwDkUIAAAA\ngHEoQgAAAACMQxECAAAAYByKEAAAAADjUIQAAAAAGIciBAAAAMA4FCEAAAAAxqEIAQAAADAORQgA\nAACAcShCAAAAAIxDEQIAAABgHIoQAAAAAONQhAAAAAAYhyIEAAAAwDgUIQAAAADGoQgBAAAAMA5F\nCAAAAIBxKEIAAAAAjEMRAgAAAGAcihAAAAAA41CEAAAAABiHIgQAAADAOKFOBzBdyPeFTkdAM3Y8\nJFQhXo/TMRAgKz5RnuhYp2MAAGAUipDDaqaPczoCAIeFjZ8hUYQAAGhUnBoHAAAAwDgUIQAAAADG\noQgBAADAftKIAAANIElEQVQAMA5FCAAAAIBxKEIAAAAAjEMRAgAAAGAcihAAAAAA41CEAAAAABiH\nIgQAAADAOBQhAAAAAMYJdTpAYxgyZIguuugi3+2xY8cqPj6+zjrTpk3TAw88oMjIyDrLFy1apJYt\nW+qGG25olKwAAAAAgs+IIhQeHq6ZM2ee9j7btiVJEyZMOO39lmUFLRcAAAAAZxhRhH5q3759evLJ\nJ5Wenq5t27ZpwoQJeuKJJzRjxgxFRUXp/fff1xdffKHo6GjFxcWpQ4cOkqSioiK98sorcrlcuvTS\nS5Wfn69Zs2aptrZWb731ljZu3CiPx6N//dd/1dVXX+3wswQAAABwJkYUoZqaGo0dO1aSlJCQoKFD\nh6qsrEyjR49WWlpanXWLi4u1atUqPf300/J6vRo3bpw6duwoSZozZ45++9vfKj09XW+//bbvaFFe\nXp5atWqladOm6cSJE3r88cfVtWtXJSQkNO4TBQAAAOAXI4pQWFhYnVPj9u3bp7Zt255SgmzbVmFh\noXr06KGwsDBJUvfu3SVJR44c0bFjx5Seni5J6tOnj9atWydJ+vvf/66dO3fqb3/7myTp6NGjKisr\nO6UIFRQUqKCgwHd78ODBDfxMATRHISGhinS7Hdl3WFiY3A7tG+cHZgiBYobQEBYtWuT7PisrS1lZ\nWWfdxogidDrh4eGnXf7T9wSdfA/RT/10+V133aWuXbv+7D79/aEAMIvX61FVVZUj+3a73Y7tG+cH\nZgiBYoYQKLfbXa8DDFw++59YlqWMjAx9/fXXqqmp0dGjR7V+/XpJUmRkpCIiIlRUVCRJWrlypW+7\nyy67TJ999pm8Xq8kqbS0VMePH2/8JwAAAADAL0YcETrdld9+uuzk7Ysvvli/+MUvNGbMGEVHR/ve\nHyRJubm5mjt3rizLUmZmpu9S2wMHDtT+/fs1btw42bat6OhoPfLII0F8RgAAAAACYdlnOvcLpzh2\n7JgiIiIkSYsXL1ZFRYXuvPPOgB6zZFD3BkgGoDkLGz9D3o4ZjuybU1IQKGYIgWKGEKjk5OR6bWfE\nEaGGsn79ei1evFher1dt27bVyJEjnY4EAAAAoB4oQucgJydHOTk5TscAAAAAECAulgAAAADAOBQh\nAAAAAMahCAEAAAAwDkUIAAAAgHEoQgAAAACMQxECAAAAYByKEAAAAADjUIQAAAAAGIciBAAAAMA4\nFCEAAAAAxgl1OoDpwsbPcDoCmrGQkFB5vR6nYyBAVnyi0xEAADAORchh3o4ZTkdAMxbpdquqqsrp\nGAAAAM0Op8YBAAAAMA5FCAAAAIBxKEIAAAAAjEMRAgAAAGAcihAAAAAA41CEAAAAABiHIgQAAADA\nOBQhAAAAAMahCAEAAAAwDkUIAAAAgHEoQgAAAACMQxECAAAAYByKEAAAAADjUIQAAAAAGIciBAAA\nAMA4lm3bttMhAAAAAKAxcUTIQYsWLXI6Apo5ZgiBYoYQKGYIgWKGEKj6zhBFCAAAAIBxKEIAAAAA\njEMRclBWVpbTEdDMMUMIFDOEQDFDCBQzhEDVd4a4WAIAAAAA43BECAAAAIBxKEIAAAAAjBPqdIDz\nXX5+vhYsWKDa2loNGDBAN9544ynrzJ8/X/n5+QoPD9d9992niy++2IGkaMrONkdffvml/vznP8u2\nbbVs2VIjRozQRRdd5FBaNDX+/B6SpKKiIj322GN66KGH1LNnz0ZOiabOnzkqKCjQwoUL5fV65Xa7\nNXny5MYPiibrbDNUWVmpF198URUVFaqtrdUNN9yg/v37OxMWTc7s2bP1zTffqHXr1po1a9Zp1znn\nv6ltBI3X67VHjRpl79271z5x4oT9yCOP2CUlJXXWWbdunf3UU0/Ztm3bW7ZssR999FEnoqIJ82eO\nNm/ebB8+fNi2bdv+5ptvmCP4+DM/J9ebPHmyPW3aNHv16tUOJEVT5s8cVVdX2w899JBdXl5u27Zt\n//DDD05ERRPlzwy9++679ltvvWXb9o/zM2zYMNvj8TgRF03Qxo0b7eLiYvt3v/vdae+vz9/UnBoX\nREVFRWrXrp0SEhIUGhqq3r17a+3atXXWWbt2rfr16ydJSk9P1+HDh1VRUeFEXDRR/sxRp06dFBkZ\nKUlKS0vTgQMHnIiKJsif+ZGkTz/9VL169VLr1q0dSImmzp85+uqrr9SzZ0/FxcVJErOEOvyZoTZt\n2ujIkSOSpKNHj8rtdiskJMSJuGiCMjIy1KpVqzPeX5+/qSlCQXTw4EHfPwiSFBsbq4MHD/7sOnFx\ncaesA7P5M0f/LC8vT5dffnljREMz4O/vobVr1+qXv/ylJMmyrEbNiKbPnznas2ePqqurNWXKFI0f\nP14rVqxo7JhowvyZoYEDB2rXrl269957NWbMGN15552NnBLNWX3+pqYINQE2VzBHA9mwYYOWLVum\n2267zekoaEYWLFigW2+9VZZlybZtfiehXrxer7Zt26YJEyZo4sSJ+tOf/qQ9e/Y4HQvNyAcffKD2\n7dtr7ty5mjlzpubNm6ejR486HQvNyLn++8XFEoIoNja2zilKBw4cUGxs7DmvA7P5OyM7duzQ3Llz\nNXHiREVFRTVmRDRh/sxPcXGxnn/+eUlSVVWV8vPzFRoaqu7duzdqVjRd/sxRXFyc3G63wsLCFBYW\npoyMDO3YsUNJSUmNHRdNkD8ztGXLFt10002S5DuNrrS0VB07dmzUrGie6vM3NUeEgqhjx44qKyvT\nvn375PF4tGrVqlP+sOjevbvv9IEtW7aoVatWiomJcSIumih/5qi8vFzPPPOMRo8erXbt2jmUFE2R\nP/Pz0ksv6eWXX9bLL7+sXr16acSIEZQg1OHPHF155ZXavHmzamtrdfz4cW3dulUpKSkOJUZT488M\nJScn67vvvpMkVVRUqLS0VImJiU7ERTNUn7+pLZtzIILqm2++qXOpyJtuuklLly6VJF1zzTWSpHnz\n5ik/P18RERHKzc1Vhw4dnIyMJuhsc/TKK69ozZo1io+PlySFhIRo2rRpTkZGE+LP76GTZs+erezs\nbC6fjVP4M0d//vOftXz5clmWpYEDB+q6665zMjKamLPNUGVlpWbPnq0DBw6otrZWN910k/r06eNw\najQVzz//vAoLC1VZWamYmBjdfPPN8nq9kur/NzVFCAAAAIBxODUOAAAAgHEoQgAAAACMQxECAAAA\nYByKEAAAAADjUIQAAAAAGIciBAAAAMA4FCEAwHmntLRUY8aM0dChQ7VkyRKn4wAAmiA+RwgAcN6Z\nM2eOWrVqpTvuuMPpKACAJoojQgCA8055eblSUlIafb+2bYv/vwgAzQNHhAAA55UpU6aosLBQISEh\nCg0N1YwZM9SuXTvf/YsXL9aSJUt09OhRtWnTRiNGjFCXLl1UW1urxYsXa9myZaqsrFRSUpLGjBmj\nuLg4bd68WQsWLNCePXuUlJSkYcOGqVOnTpKkyZMnq3PnziooKNC2bds0a9YseTwezZ8/X9u2bVPr\n1q01ZMgQ/eIXv3DqJQEAnEao0wEAAGhITzzxhKZMmaKrrrpKAwYMqHNfaWmpPvvsM02fPl0xMTEq\nLy+X1+uVJP3lL3/RqlWr9OijjyopKUk7d+5UeHi4qqurNX36dA0fPly9e/fW6tWrNW3aNL344ouK\nioqSJH355ZeaMGGCkpOTdezYMT388MMaMmSIJk6cqJ07d+r3v/+9UlNTHTlKBQA4PU6NAwAYw+Vy\nyePxqKSkRB6PR/Hx8UpMTJQk5eXl6ZZbblFSUpIk6cILL1RUVJTWr1+v5ORkXXXVVXK5XOrdu7cu\nuOACrV27VpJkWZb69eunlJQUuVwu5efnKyEhQf3795fL5VL79u3Vs2dP/e1vf3PseQMATsURIQDA\neWvatGkqLCyUJN1zzz3q06ePhg4dqvfee08lJSW67LLLNHToULVp00YHDhyocwrdSQcPHlRcXFyd\nZfHx8Tp06FCd2yft379fW7du1bBhw3zLvF6v+vbt29BPDwAQAIoQAOC8NWHChFOW9enTR3369NHR\no0f16quv6q233tKoUaMUFxensrKyU05fi42N1Zo1a+osKy8v1+WXX37afcbHxyszM1OPPfZYwz0R\nAECD49Q4AIAxSktLtWHDBp04cUItWrRQixYt5HL9+E/hgAED9O6776qsrEy2bWvHjh2qrq7WFVdc\noT179uirr76S1+vVqlWrtHv3bmVnZ592H9nZ2dqzZ49WrFghj8cjj8ejoqIi7d69uzGfKgDgLDgi\nBAAwhsfj0dtvv63du3crJCREl1xyie69915J0vXXXy+Px6OpU6eqqqpKF1xwgR555BHFxsZq3Lhx\nWrBggV5//XUlJSVp/Pjxvgsl/FRERIQmTpyoN998U2+++aZs21b79u35TCMAaGK4fDYAAAAA43Bq\nHAAAAADjUIQAAAAAGIciBAAAAMA4FCEAAAAAxqEIAQAAADAORQgAAACAcShCAAAAAIxDEQIAAABg\nHIoQAAAAAOP8P/IFseDF0xi0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b62e690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f1 = f1_score(disag_elec, test_elec)\n",
    "f1.index = disag_elec.get_labels(f1.index)\n",
    "f1.plot(kind='barh')\n",
    "plt.ylabel('appliance');\n",
    "plt.xlabel('f-score');\n",
    "plt.title(\"FHMM\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       "\n",
       "@font-face{\n",
       "    font-family:\"AvenirNext-UltraLight\";\n",
       "    src:url(\"styles/fonts/17c55b27-e9ab-43cd-b948-d49f97480d68.eot?#iefix\");\n",
       "    src:url(\"styles/fonts/17c55b27-e9ab-43cd-b948-d49f97480d68.eot?#iefix\") format(\"eot\"),url(\"styles/fonts/fa19948e-5e38-4909-b31e-41acd170d6f2.woff\") format(\"woff\"),url(\"styles/fonts/6de0ce4d-9278-467b-b96f-c1f5f0a4c375.ttf\") format(\"truetype\"),url(\"styles/fonts/9fd4ea0c-b19a-4b21-9fdf-37045707dd78.svg#9fd4ea0c-b19a-4b21-9fdf-37045707dd78\") format(\"svg\");\n",
       "}\n",
       "\n",
       "@font-face{\n",
       "    font-family:\"AvenirNext\";\n",
       "    src:url(\"styles/fonts/e9167238-3b3f-4813-a04a-a384394eed42.eot?#iefix\");\n",
       "    src:url(\"styles/fonts/e9167238-3b3f-4813-a04a-a384394eed42.eot?#iefix\") format(\"eot\"),url(\"styles/fonts/1e9892c0-6927-4412-9874-1b82801ba47a.woff\") format(\"woff\"),url(\"styles/fonts/46cf1067-688d-4aab-b0f7-bd942af6efd8.ttf\") format(\"truetype\"),url(\"styles/fonts/52a192b1-bea5-4b48-879f-107f009b666f.svg#52a192b1-bea5-4b48-879f-107f009b666f\") format(\"svg\");\n",
       "}\n",
       "\n",
       "body, p {\n",
       "  color: #2d3c48;\n",
       "  font-family: 'AvenirNext', sans-serif;\n",
       "  font-weight: normal;\n",
       "  -webkit-font-smoothing: antialiased;\n",
       "}\n",
       "\n",
       ".thumbnail {\n",
       "\tfloat: left;\n",
       "\twidth: 100%;\n",
       "\theight: 100%;\n",
       "\tmargin-right: 10px;\n",
       "\tmargin-bottom: 10px;\n",
       "\t-web-kit-shadow: None !important;\n",
       "\tbox-shadow: None !important;\n",
       "}\n",
       "\n",
       ".test {\n",
       "    float: left;\n",
       "    position: relative;\n",
       "    width:28%;\n",
       "    height:100%;\n",
       "    margin-right: 20px;\n",
       "}\n",
       ".test img {\n",
       "    float: left;\n",
       "    width:100%;\n",
       "    height:100%;\n",
       "}\n",
       ".test:after {\n",
       "    font-size: 40px;\n",
       "    text-align: center;\n",
       "    content: attr(data-content);\n",
       "    color:#fff;\n",
       "    position: absolute;\n",
       "    width:100%; height:66%;\n",
       "    top:0px; left:0px;\n",
       "    background:rgba(0,0,0,0.6);\n",
       "    opacity:0;\n",
       "    transition: all 0.5s;\n",
       "    -webkit-transition: all 0.5s;\n",
       "    padding-left: 5px;\n",
       "    padding-right: 5px;\n",
       "    padding-top: 20%;\n",
       "    border-radius: 4px;\n",
       "    margin-right: 10px;\n",
       "}\n",
       ".test:hover:after {\n",
       "    opacity:0.8;\n",
       "}\n",
       "\n",
       "h1,\n",
       "h2,\n",
       "h3,\n",
       "h4,\n",
       "h5,\n",
       "h6 {\n",
       "    font-family: 'AvenirNext-UltraLight', sans-serif;\n",
       "    font-weight: bold;\n",
       "    color: #545E6B;\n",
       "}\n",
       "\n",
       "p {\n",
       "    color: #222;\n",
       "}\n",
       "\n",
       "a {\n",
       "    text-decoration: none !important;\n",
       "    color: #8F7BD9;\n",
       "    line-height: 19px;\n",
       "    transition: all .25s; \n",
       "    -moz-transition: all .25s; \n",
       "    -webkit-transition: all .25s;\n",
       "}\n",
       "\n",
       "a:hover {\n",
       "\tcolor: #A997EB;\n",
       "\ttext-decoration: none !important;\n",
       "}\n",
       "\n",
       "a:active {\n",
       "\tcolor: #59A2E6;\n",
       "\ttext-decoration: none !important;\n",
       "}\n",
       "\n",
       ".button {\n",
       "  padding-left: 40px;\n",
       "  padding-right: 40px;\n",
       "  padding-top: 10px;\n",
       "  padding-bottom: 10px;\n",
       "  margin-right: 20px;\n",
       "  border: 1px solid #9175f0;\n",
       "  box-shadow: inset 0px 1px 0px 0px rgba(255,255,255,0.30);\n",
       "  border-radius: 3px;\n",
       "  font-size: 24px;\n",
       "  color: #9175f0;\n",
       "  line-height: 26px;\n",
       "}\n",
       "\n",
       ".button:hover {\n",
       "  color: #A997EB;\n",
       "  background-color: rgb(240,240,240);\n",
       "\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML at 0x10b9b6290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# CSS styling\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(open('static/styles.css', 'r').read()));"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
